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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering , Engineering, Electrical & Electronic

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eISSN: 1178-5608

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FEATURED ARTICLES

Touch fingerprint sensor based on sensor cell isolation technique with pseudo direct signaling
HYBRID DATA APPROACH FOR SELECTING EFFECTIVE TEST CASES DURING THE REGRESSION TESTING
PERFORMANCE AND ANALYSIS OF AUTOMATIC LICENSE PLATE LOCALIZATION AND RECOGNITION FROM VIDEO SEQUENCES

VOLUME 8 , ISSUE 1 (March 2015) - List of articles

AN ASSISTANCE SYSTEM FOR BUILDING INTELLIGENT SPACES BASED ON MAPSHARING AMONG A MOBILE ROBOT AND DISTRIBUTED SENSORS

Fumitaka Hashikawa/ Kazuyuki Morioka

An intelligent space is a space constructed with many networked sensors. Humans and robots in the space are extracted and tracked cooperatively by the networked sensors. The intelligent space can achieve position-based supports to humans and robots according to integration of networked sensors. Generally, the networked sensors are distributed and fixed on the structures in the space such as walls, ceilings and etc. In order to track moving objects such as humans and robots in the intelligent spa(..)

DOI: 10.21307/ijssis-2017-746

Published Online: 01-March-2015

LOW-POWER WIRELESS LIQUID MONITORING SYSTEM USING ULTRASONIC SENSORS

Samarth Viswanath/ Marco Belcastro/ John Barton/ Brendan O’Flynn/ Nicholas Holmes/ Paul Dixon

Monitoring Systems are necessary to understand the changes that take place in environments. Remote monitoring and data collection systems are useful and effective tools to collect information from bulk storage tanks and to monitor the same. The measurement of liquid inside the tank is most important and such systems are useful in industries which are categorized as safety critical systems. This paper presents the architecture and initial testing results of a low power wireless system for tank le(..)

DOI: 10.21307/ijssis-2017-747

Published Online: 01-March-2015

A STUDY OF X-RAY MACHINE IMAGE LOCAL SEMANTIC FEATURES EXTRACTION MODEL BASED ON BAG-OFWORDS FOR AIRPORT SECURITY

Ning Zhang/ Jinfu Zhu

The aviation security at the airport has been faced with increasingly severe situations since the 9-11 event. It’s of utmost importance to train airport X-ray machine screener’s image recognition competency. So they can prevent terrorists from bringing dangerous articles in their carry-on or checked bags. However, usually the luggages are placed in different positions and the density & volume of articles differ greatly. As a result, dangerous articles show a variety of X-ray image features. It’s(..)

DOI: 10.21307/ijssis-2017-748

Published Online: 01-March-2015

L-SHAPED CANTILEVER PARALLEL - PLATE MEMS ACCELEROMETER DESIGN PARAMETERS USING A GRAVITATIONAL SEARCH ALGORITHM

Souad Oukil/ Abdelmadjid Boudjemai/ Nabil Boughanmi

Due to their small size, low weight, low cost and low energy consumption, MEMS (Micro Electro-Mechanical Systems) accelerometers have achieved great commercial success in recent decades. The objective of this paper is to find the optimum design for a typical MEMS accelerometer, which satisfies a set of given constraints. Due to the complex nature of the problem, a gravitational search algorithm (GSA) is developed for optimization. The GSA attempts to optimize the inter-plate gap while satisfying(..)

DOI: 10.21307/ijssis-2017-749

Published Online: 01-March-2015

A NOVEL APPROACH OF COMBINING STEGANOGRAPHY ALGORITHMS

Hamdan Lateef Jaheel/ Zou Beiji

Steganography is the act of hiding a message inside another message in such a way that the hidden message can only be detected by its intended recipient. In this paper, we combined two steganography algorithms namely JSteg and OutGuess algorithms, in order to exploit the beneficial characteristics and features of both algorithms to enhance the protection level for secret images. In our proposed approach, the secret message (image) is first concealed inside another image using JSteg algorithm and(..)

DOI: 10.21307/ijssis-2017-750

Published Online: 01-March-2015

SPARSE REPRESENTATION THEORY AND ITS APPLICATION FOR FACE RECOGNITION

Yongjiao Wang/ Chuan Wang/ Lei Liang

Face recognition aims at endowing computers with the ability to identify different human beings according to their face images. However, recognition rate will decrease sharply when it refers to the non-ideal imaging environments or the incorporation of users, such as illumination, pose, expression variations and so on. Besides, it will be also influence the recognition results when the database is too large or small. Sparse representation based classification for face images has been one of effi(..)

DOI: 10.21307/ijssis-2017-751

Published Online: 01-March-2015

SURVEY OF SEMANTIC SIMILARITY MEASURES IN PERVASIVE COMPUTING

Djamel Guessoum/ Moeiz Miraoui/ Chakib Tadj

Semantic similarity measures usage is prevalent in pervasive computing with the following aims: 1) to compare the components of an application; 2) to recommend and rank services by degree of relevance; 3) to identify services by matching the description of a query with the available services; 5) to compare the current context with already known contexts. The existing works that apply semantic similarity measures to pervasive computing focus on one particular issue. Furthermore, surveys in this d(..)

DOI: 10.21307/ijssis-2017-752

Published Online: 01-March-2015

IMAGE FUSION AND RECOGNITION BASED ON COMPRESSED SENSING THEORY

Qiuchan Bai/ Chunxia Jin

As the compressed sensing theory can offer a better performance than Nyquist sampling theorem when dealing with large amounts of data, it becomes very popular for image fusion and target recognition in image processing. In this paper, a new image fusion algorithm based on compressed sensing was proposed. By discrete cosine transform, it fused images through weighted coefficient, recovered the fusion images by basic pursuit algorithm. Moreover, a recognition algorithm in compressed sensing was al(..)

DOI: 10.21307/ijssis-2017-753

Published Online: 01-March-2015

TRACKING OF MOVING TARGET BASED ON VIDEO MOTION NUCLEAR ALGORITHM

Wang Xiaojun/ Pan Feng/ Wang Weihong

Moving target detection and tracking algorithm research content is very broad and complex applications, without and different target features directly affects the detection of selected tracking algorithm. So far still does not exist a universal algorithm for perfect can be suitable for various applications, so the detection and tracking of moving targets is still a valuable research subject of. The research work in this paper is in the field, the moving target detection spatiotemporal correlatio(..)

DOI: 10.21307/ijssis-2017-754

Published Online: 01-March-2015

DIGITAL IMAGE WATERMARKING ALGORITHMS BASED ON DUAL TRANSFORM DOMAIN AND SELF-RECOVERY

Zhu Yuefeng/ Lin Li

In view of dual watermarking algorithm for dual two value image watermarking, the watermark information there is a gray image watermarking in the expression is obviously insufficient. The proposed embedded in the carrier image on the dual watermark includes a two watermark image and a gray image watermarking algorithm, the persuasive power while maintaining the original two values of the watermark robustness at the same time, improve the watermark information. In order to balance the robustness (..)

DOI: 10.21307/ijssis-2017-755

Published Online: 01-March-2015

CHARACTERIZATION OF A NEEDLE-TYPE GIANT MAGNETORESISTANCE SENSOR FOR DETECTION OF ESCHERICHIA COLI’S MAGNETIC MARKER

Hamidreza Shirzadfar/ Mustapha Nadi/ Djilali Kourtiche/ Sotoshi Yamada/ Payman Shahabi

In the recent years, the introduction and development of simple and portable sensors has been the focus of researchers in nearly all scientific domains, particularly in the biomedical settings. Giant magnetoresistance (GMR) provides a cutting-edge sensor technology. The GMR-based sensors are capable to affordably and sensitively detect and quantify micro- and nano-magnetic particles, even in very weak magnetic fields. In this paper, we introduce a highly sensitive needle-type GMR-based sensor, d(..)

DOI: 10.21307/ijssis-2017-756

Published Online: 01-March-2015

ACOUSTIC-PHONETIC FEATURE BASED DIALECT IDENTIFICATION IN HINDI SPEECH

Shweta Sinha/ Aruna Jain/ S. S. Agrawal

Every individual has some unique speaking style and this variation influences their speech characteristics. Speakers’ native dialect is one of the major factors influencing their speech characteristics that influence the performance of automatic speech recognition system (ASR). In this paper, we describe a method to identify Hindi dialects and examine the contribution of different acoustic-phonetic features for the purpose. Mel frequency cepstral coefficients (MFCC), Perceptual linear prediction(..)

DOI: 10.21307/ijssis-2017-757

Published Online: 01-March-2015

ROBUST VISUAL TRACKING BASED ON SUPPORT VECTOR MACHINE AND WEIGHTED SAMPLING METHOD

Gao Xiaoxing/ Liu Feng

Visual tracking algorithm based on binary classification has become the research hot issue. The tracking algorithm firstly constructs a binary classifier between object and background, then to determine the object’s location by the probability of the classifier. However, such binary classification may not fully handle the outliers, which may cause drifting. To improve the robustness of these tracking methods, a novel object tracking algorithm is proposed based on support vector machine (SVM) and(..)

DOI: 10.21307/ijssis-2017-758

Published Online: 01-March-2015

NODES CONTROL ALGORITHM DESIGN BASED COVERAGE AND CONNECTIVITY OF WIRELESS SENSOR NETWORK

Yin Zhouping

Coverage and connectivity are two important problems in wireless sensor network. This paper focuses on the wireless sensor network communication radius in the high density of sensor nodes deployed randomly and two times smaller than the sensing radius; put forward a distributed k coverage multi connected node deployment algorithm based on grid. Simulation results show that the algorithm in this paper while guaranteeing the wireless sensor network coverage and connectivity can reduce the number o(..)

DOI: 10.21307/ijssis-2017-759

Published Online: 01-March-2015

A COMPREHENSIVE ANALYSIS ON SIZING OF SOLAR ENERGY HARVESTER ELEMENTS FOR WIRELESS SENSOR MOTES

R. Hemalatha/ R. Ramaprabha/ S. Radha

Wireless sensor networks (WSN) have limited lifetime due to on board battery. The lifetime can be improved by energy harvesting solutions. In this paper the solar energy harvester requirements for TelosB mote has been analyzed and calculated. Photovoltaic (PV) panel and battery sizing requirements are calculated by assuming that the mote follows SMAC and TDMA-MAC schedule for image communication. The calculations are validated by comparing it with the parameters calculated from the real time cur(..)

DOI: 10.21307/ijssis-2017-760

Published Online: 01-March-2015

FEATURE SELECTION ALGORITHM BASED ON CONDITIONAL DYNAMIC MUTUAL INFORMATION

Wang Liping

Aim at existing selection algorithm mutual information inaccurate valuation problem, a condition dynamic concept of mutual information. On this basis, the conditions proposed based on dynamic mutual information (CDMI) feature selection algorithm to overcome the traditional mutual information selection process dynamic correlation problem; conditions of dynamic mutual information throughout the selection process is dynamic valuation, those the samples can be identified after each selection feature(..)

DOI: 10.21307/ijssis-2017-761

Published Online: 01-March-2015

REVIEW ON MODELING AND CONTROLLER DESIGN OF HYDRAULIC ACTUATOR SYSTEMS

S. Salleh/ M. F. Rahmat/ S. M. Othman/ K. A. Danapalasingam

The purpose of this paper is to review the literature on modeling and previous control strategies of the hydraulic actuator system proposed by most of the researchers around the world. Before comes to the main discussion, some background information related to hydraulic actuator will be presented. This review includes a short summary and conclusion for hydraulic actuator system. The repercussion of this review is for future inventions of a better and robust hydraulic actuator system.

DOI: 10.21307/ijssis-2017-762

Published Online: 01-March-2015

RECOMMENDER ALGORITHMS BASED ON BOOSTING ENSEMBLE LEARNING

Cheng Lili

This article introduces ensemble learning algorithms in recommender systems, and in boosting algorithm framework of this article, shows how to filter the basic recommendation algorithm according to the characteristics of boosting algorithm. By comparing the rational choice of the two recommended boosting algorithm is applied to the frame. And then it determines the main parameters of the algorithm through the experiments, ultimately to obtain a more effective integration of the recommendation al(..)

DOI: 10.21307/ijssis-2017-763

Published Online: 01-March-2015

IRIS-FACE FUSION AND SECURITY ANALYSIS BASED ON FISHER DISCRIMINANT

Qihui Wang/ Bo Zhu/ Yo Liu/ Lijun Xie/ Yao Zheng

With the development of society and science technology, the information security becomes more and more important for people and nation. In this paper, we focus on the technology of iris-face fusion in multi-mode sense in order to find an algorithm to get a better recognition performance. Firstly, we introduce the feature extraction of iris and face, and fusion the features using different algorithms. By simulation, we find out the recognition performance with different fusion methods, which prov(..)

DOI: 10.21307/ijssis-2017-764

Published Online: 01-March-2015

APTIVE IMAGE SEGMENTATION BASED ON SALIENCY DETECTION

Shui Linlin

in this article, we propose an adaptive image segmentation method based on saliency. First of all, we obtain the saliency map of an image via four bottom-layer feature tunnels, i.e. color, intensity, direction and energy. The energy tunnel helps to describe the outline of objects better in the saliency map. Then, we construct the target detection masks according to the greyness of pixels in the saliency map. Each mask is applied to the original image as the result of pre-segmentation, then corre(..)

DOI: 10.21307/ijssis-2017-765

Published Online: 01-March-2015

GEOMETRIC DEEP PARTICLE FILTER FOR MOTORCYCLE TRACKING: DEVELOPMENT OF INTELLIGENT TRAFFIC SYSTEM IN JAKARTA

Alexander A S Gunawan/ Wisnu Jatmiko

Intelligent Transportation Systems (ITS) is the combination of transportation systems with Information and Communication Technology (ICT). In Jakarta traffic, there is unique issue that does not arise in developed countries: very large number of motorcycles. Nevertheless, the enabling technologies for the detection, measurement, recording, and information distribution of motorcycle have not been fully developed in the existing researches. With the above considerations, we establish research whic(..)

DOI: 10.21307/ijssis-2017-766

Published Online: 01-March-2015

NEW STEREO MATCHING METHOD BASED ON IMPROVED BP ALGORITHM

Qian. Zhang/ Shaomin Li/ Y. Zhang/ P. Wang/ JF. Huang

As stereo matching methods are widely used in computer vision and stereo reconstruction, from the perspective of improving the matching accuracy, this paper focuses on the global optimization algorithm. An improved stereo matching method based on 8- neighbor Belief Propagation method is proposed in this paper, by involving more pixels into information transmission, our method improves the accuracy of stereo matching. The experimental results verify the efficiency and reliability of our method.

DOI: 10.21307/ijssis-2017-767

Published Online: 01-March-2015

STUDY ON IMAGE COMPRESSION AND FUSION BASED ON THE WAVELET TRANSFORM TECHNOLOGY

Zhang Ning/ Zhu Jinfu

With the development of information technology, the rapid development of microelectronics technology, image information acquisition and use is also increasing, sensor technology also unceasingly to reform. A single sensor information obtained is limited, often can not meet the actual needs, in addition, different sensors have the advantage of the imaging principle and its unique, as in color, shape characteristics, band access, spatial resolution from the aspects of all have their own characteri(..)

DOI: 10.21307/ijssis-2017-768

Published Online: 01-March-2015

SMALL TARGET DETECTION BASED ON INFRARED IMAGE ADAPTIVE

Hao Chen/ Hong Zhang/ Yifan Yang/ Ding Yuan

This paper studies the multi-resolution analysis of infrared image preprocessing method based on wavelet transform, wavelet transform infrared image of small target for pretreatment, after pretreatment suppressed image background clutter, improved signal to noise ratio. On this basis, studies based on infrared image sequences generated background Kalman filter and target detection algorithm, given the principle of the algorithm, time-domain method for generating fading background and moving obje(..)

DOI: 10.21307/ijssis-2017-769

Published Online: 01-March-2015

A DEPLOYMENT ALGORITHM FOR MOBILE WIRELESS SENSOR NETWORKS BASED ON THE ELECTROSTATIC FIELD THEORY

Jiang Xu/ Huanyan Qian/ Wenhao Ying/ Jun Zhang

This paper proposes a deployment algorithm based on the electrostatic field theory for mobile wireless sensor networks. The nodes and obstacles in the deployment area are taken as the charged particles; and the particles will move due to the Coulomb’s force from other particles or obstacles. Finally, the nodes automatically spread to the whole area by the resultant action and complete the deployment. Four metrics, including coverage, uniformity, deployment time and average displacement distance,(..)

DOI: 10.21307/ijssis-2017-770

Published Online: 01-March-2015

THE TRANSFORMER WINDING TEMPERATURE MONITORING SYSTEM BASED ON FIBER BRAGG GRATING

Danping Jia/ Zuoying Yao/ Chunhua Li

High temperature is one of the important reasons causing the fire in power system. Therefore, the early warning could be told by monitoring the temperature and effective measures could be taken. The corresponding accidents will be reduced. The traditional transformer winding temperature monitoring methods are electrical signal measurement and infrared measurement. Such electrical signal sensors are vulnerable to the interference of electromagnetic field, so the result of measurement is bad. Mult(..)

DOI: 10.21307/ijssis-2017-771

Published Online: 01-March-2015

SECURITY OF WIRELESS SENSOR NETWORKS FOR HEALTH MONITORING HELMETS WITH ANOMALY DETECTION USING MONITORING HELMETS WITH ANOMALY DETECTION USING 

Biswajit Panja/ Zachary Scott/ Priyanka Meharia

DOI: 10.21307/ijssis-2017-772

Published Online: 27-December-2017

INTELLIGENT DETECTION OF FACIAL EXPRESSION BASED ON IMAGE

Shaoping Zhu/ Yongliang Xiao

Human facial expressions detection plays a central role in pervasive health care and it is an active research field in computer vision. In this paper, a novel method for facial expression detection from dynamic facial images is proposed, which includes two stages of feature extraction and facial expression detection. Firstly, Active Shape Model (ASM) is used to extract the local texture feature, and optical flow technique is determined facial velocity information, which is used to characterize f(..)

DOI: 10.21307/ijssis-2017-773

Published Online: 01-March-2015

ADJUSTMENT OF THE PARALLELISM OF TWO MIRRORS FOR WIDE ANGLE DIVIDED MIRROR MICHELSON WIND IMAGING INTERFEROMETER

Shaojun Lu/ Chunmin Zhang

Many ways have been developed to measure atmospheric winds by detecting the Doppler shifts of airglow emission lines. The Michelson Interferometer is widely used because of its simple principle. To get the Doppler shifts to calculate the wind velocity, researchers developed four-phase-step and divided mirror technology respectively. But they face challenges in many fields. So a wide angle Michelson Interferometer combining with divided mirror and phase stepping technique is used in this paper. A(..)

DOI: 10.21307/ijssis-2017-774

Published Online: 01-March-2015

CYBER-AWARENESS IMPROVEMENT USING ARTIFICIAL INTELLIGENCE TECHNIQUES

Soorena Merat/ Wahab Almuhtadi

The primary contribution of this experiment is the development of a framework on which a variety of multitasking processes can be mapped. A software model named SHOWAN is developed to represent, capture and learn the cyber awareness behavior of a computer process against multiple concurrent threads. At the beginning of the experiment, the examined process outperformed, and tended to manage numerous tasks poorly, but it gradually learned to handle fewer tasks and excelling in each of them.

DOI: 10.21307/ijssis-2017-775

Published Online: 01-March-2015

THE BENDING MODE CONTROL METHOD OF AFS SYSTEM BASED ON PREVIEW CONTROL

Li Lifu/ Yang Mingjun/ Zhang Jinyong

Due to the time-lag of both the mechanical transmission and controller area network (CAN) bus transmission of the Adaptive Front Lighting System (AFS), the actual bending angle of AFS invariably lags behind the steering-wheel angle,which not only makes the real-time response speed of the AFS system slow, but also makes the system stability and the active safety of the vehicle poor. To solve the problem, firstly, the geometrical relations among safety braking distance and the rate of steering-whe(..)

DOI: 10.21307/ijssis-2017-776

Published Online: 01-March-2015

TRAVEL TIME PREDICTION BASED ON PATTERN MATCHING METHOD

Jiandong Zhao/ Feifei Xu/ Wenhui Liu/ Jigen Bai/ Xiaoling Luo

The microwave detection technology has become an effective tool for monitoring highway traffic flow in China. The cross section traffic data collected provides models opportunity for travel time prediction. However, the sparseness of data somewhat constrains the prediction accuracy. To tackle this problem, the paper presents a highway travel time prediction algorithm based on pattern matching method. First, a pattern library is established by choosing traffic volume and speed as its certain stat(..)

DOI: 10.21307/ijssis-2017-777

Published Online: 01-March-2015

OBJECT TRACKING BASED ON MACHINE VISION AND IMPROVED SVDD ALGORITHM

Yongqing Wang/ Yanzhou Zhang

Object tracking is an important research topic in the applications of machine vision, and has made great progress in the past decades, among which the technique based on classification is a very efficient way to solve the tracking problem. The classifier classifies the objects and background into two different classes, where the tracking drift caused by noisy background can be effectively handled by one-class SVM. But the time and space complexities of traditional one-class SVM methods tend to b(..)

DOI: 10.21307/ijssis-2017-778

Published Online: 01-March-2015

AUTOMATED TELEHEALTH SYSTEM FOR FETAL GROWTH DETECTION AND APPROXIMATION OF ULTRASOUND IMAGES

Wisnu Jatmiko/ Ikhsanul Habibie/ M. Anwar Ma’sum/ Robeth Rahmatullah/ I Putu Satwika

One of the most profound use of ultrasound imaging is fetal growth monitoring. Conventionally, physicians will perform manual measurements of several parameters of the ultrasound images to draw some conclusion of the fetal condition by manually annotating the fetal images on the ultrasound device interface. However, performing manual annotation of fetal images will require significant amount of time considering the number of patients an obstetrician can have. In this paper, an integrated automat(..)

DOI: 10.21307/ijssis-2017-779

Published Online: 01-March-2015

AUTOMATIC FETAL ORGANS DETECTION AND APPROXIMATION IN ULTRASOUND IMAGE

M. Anwar Ma’sum/ Wisnu Jatmiko/ Budi Wiweko/ Anom Bowolaksono

This paper proposed a system for detecting and approximating of a fetus in an ultrasound image. The fetal organs in the ultrasound image are detected using Multi Boundary Classifier based Adaboost.MH. The results of the fetal detection is then approximated Randomized Hough Transform and the whole showed a mean accuracy of 95.80%. The mean of the Hamming Error 0.019 and the Kappa coefficient value reaches 0.890.The proposed method has the best performancefor fetal organ detection. This is proven (..)

DOI: 10.21307/ijssis-2017-780

Published Online: 01-March-2015

RESEARCH OF THE FORKLIFT POWER-ASSISTED STEERING SYSTEM BASED ON SAFETY STEERING SPEED CONTROL

Yan He/ Benxian Xiao

Enhancing the safety of forklift power-assisted steering system is a problem urgently to be solved in practice. First of all, forklift power-assisted steering system model is established according to Lagrange dynamical equations, and three variable assistance characteristics curve fitted for reach trucks is designed combined with fuzzy control algorithm. Then sliding mode variable-structure control method based on motor current control is used tracking the target current and making contrast with(..)

DOI: 10.21307/ijssis-2017-781

Published Online: 01-March-2015

IN-SITU TEST OF PRESSURE PIPELINE VIBRATION BASED ON DATA ACQUISITION AND SIGNAL PROCESSING

Huimin Hou/ Cundong Xu/ Hui Liu/ Rongrong Wang/ Junkun Jie/ Lianying Ding

Pipeline vibration of high frequency and large amplitude is an important factor that impacts the safe operation of pumping station and the efficiency of the pumps. Through conducting the vibration in-situ test of pipeline system in the pumping station, we can objectively analyze the mechanism of pipeline vibration and evaluate the stability of pipeline operation. By using DASP (data acquisition & signal processing) in the in-situ test on the 2# pipeline of the third pumping station in the genera(..)

DOI: 10.21307/ijssis-2017-782

Published Online: 01-March-2015

CONSTRUCTION OF TRACEABILITY SYSTEM FOR MAINTENANCE OF QUALITY AND SAFETY OF BEEF

Wanli Zhang/ Xiaoying Yang/ Qixiang Song

In order to allow consumers to trace to the whole process of beef breeding, production and processing after purchasing beef, to achieve smart, fast and practical goals for quality and safety of beef traceability system, B / S (Browser / Server) mode architecture is used to build quality beef traceability system based on RFID technology in this paper. First, the system is analyzed, the structure and database system are designed and the key technologies to achieve traceability system is explored, (..)

DOI: 10.21307/ijssis-2017-783

Published Online: 01-March-2015

TRANSMISSION POWER CONTROL IN WIRELESS SENSOR NETWORKS UNDER THE MINIMUM CONNECTED AVERAGE NODE DEGREE CONSTRAINT

Junfeng Qiao/ Sanyang Liu/ Xiaogang Qi/ Gengzhong Zheng

As a branch of topology control, power control is of great importance to prolong the survival time of the network. A transmission power control algorithm is proposed under the minimum connected average node degree constraint in this paper. Using a Poisson point process in two dimensions, we derive an analytical expression that determines the required transmission range to achieve a specified connectivity probability for a given node density, and then the minimum connected average node degree is (..)

DOI: 10.21307/ijssis-2017-784

Published Online: 01-March-2015

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