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  • In Jour Smart Sensing And Intelligent Systems

 

Article | 01-September-2016

PGSA-BASED LOCALIZATION ALGORITHM FOR WIRELESS SENSOR NETWORK

This paper proposes a novel localization algorithm for wireless sensor network (WSN). Accurate localization is very important for WSN. WSN localization problem is sometimes regarded as an optimization problem. Plant growth simulation algorithm (PGSA) is a kind of new intelligent optimization algorithm, which is intelligent simulation of plant growth in natural way. In addition to the common characteristics of intelligent algorithms, PGSA show robustness and provides a global optimal solution

Yuqiang Qin, Hui Ying

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 3, 1287–1304

Article | 05-June-2013

WIRELESS SENSOR NETWORK APPLICATIONS IN COLD ALPINE AREA OF WEST CHINA: EXPERIENCES AND CHANLLENGES

Wireless sensor network (WSN) shows unique advantages in cold alpine area comparing with traditional in-situ monitoring approaches. This paper presents two WSN applications in cold alpine area, one in the Hulugou watershed and the other in the Babaohe watershed, both of which are situated in the upper mountainous reach of the Heihe River Basin of West China. Apart from introductions to the two WSN applications and experimental results, experiences learned and challenges met during designing

Chen Hao, Nan Zhuotong

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 3, 932–952

Research Article | 01-September-2017

ANDROID BASED HOME AUTOMATION AND ENERGY CONSERVATION

Wireless Sensor Network (WSN) consists of three main components: nodes, gateways, and software. The spatially distributed measurement nodes interface with sensors to monitor assets or their environment. In a WSN network the devices are connected to WSN nodes wherein the entire nodes uses Zigbee network to transfer the status of connected applications to a controller which controls the whole applications but the main drawback of Wireless sensor networks is its high interference, low coverage

M.Anto Bennet, B Thamilvalluvan, C.A. Hema Priya, B. Bhavani, M. Shalini

International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 5, 69–86

Research Article | 15-February-2020

Organoleptic Properties Remote Sensing and LifeTime Prediction along the Perishables Goods Supply-Chain

Nowadays, two of the most compelling challenges in the field of food safety and certification are the reduction of the multitude of food losses and wastes in the supply chain and the improvement of certification and monitoring procedures during each stage of production. The aim of this paper is to propose an effective solution to both problems: a wireless sensor network (WSN) combined with a further data processing for real-time monitoring and shelf life prediction.

V.F. Annese, G.E. Biccario, S. Cipriani, D. De Venuto

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–6

Research Article | 20-February-2013

ADAPTIVE ESTIMATION AND PI LEARNING SPRING-RELAXATION TECHNIQUE FOR LOCATION ESTIMATION IN WIRELESS SENSOR NETWORKS

In order to reduce the location estimation error in Wireless Sensor Network(WSN). A localization algorithm is proposed combining adaptive estimation, PI-learning and spring-relaxation techniques for wireless sensor networks in this paper. Our proposed method takes the advantages of the spring-relaxation technique, thus it inherits its simplicity. The overall accuracy of the location estimations is improved by introducing adaptive estimation and PI-learning. Moreover, it requires only a few

Li Haiyan, Hu Yun-an, Zhu Min

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 317–332

Article | 01-June-2015

DEVELOPMENT OF WIRELESS SENSOR NETWORK USING BLUETOOTH LOW ENERGY (BLE) FOR CONSTRUCTION NOISE MONITORING

In this paper the development of a Wireless Sensor Network (WSN) for construction noise identification and sound locating is investigated using the novel application of Bluetooth Low Energy (BLE). Three WSNs using different system-on-chip (SoC) devices and networking protocols have been prototyped using a Raspberry Pi as the gateway in the network. The functionality of the system has been demonstrated with data logging experiments and comparisons has been made between the different WSN systems

Josie Hughes, Jize Yan, Kenichi Soga

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 1379–1405

Research Article | 20-February-2013

A WSN-BASED ON-LINE WORKING CONDITION MONITORING SYSTEM FOR LARGE ELECTRICAL EQUIPMENT

To solve the problems of traditional wired on-line monitoring system which has lines too much, cost too high, fault diagnosing and maintaining difficulties and so on, an on-line working condition monitoring system for large electrical equipment based on wireless sensor network (WSN) is proposed, designed and implemented. CC2431 chips were used for hardware design of wireless sensor network node and base station, and the TinyOS transplanted into the sensor nodes and base stations are discussed

Xuejun Chen, Yongming Yang

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 297–316

Research Article | 10-April-2013

Low Energy Adaptive Routing Hierarchy Based on Differential Evolution

In recent years, wireless sensor network (WSN) is a rapidly evolving technological platform with tremendous and novel applications. Many routing protocols have been specially designed for WSN because the sensor nodes are typically battery-power. To prolong the network lifetime, power management and energy-efficient routing techniques become necessary. In large scale wireless sensor networks, hierarchical routing has the advantage of providing scalable and resource efficient solutions. To find

Xiangyuan Yin, Zhihao Ling, Liping Guan

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 2, 523–547

Article | 01-June-2015

WSN BASED THERMAL MODELING: A NEW INDOOR ENERGY EFFICIENT SOLUTION

In this paper, we proposed to use the Efficient Indoor Thermal Time Constant (EITTC) to characterize the indoor thermal response in old buildings. Accordingly, a low cost, energy-efficient, wide-applicable indoor thermal modeling solution is developed by combining Wireless Sensor Network (WSN) and Artificial Neural Network (ANN). Experiments on both prototype and building room showed consistent results that the combination of WSN and ANN can provide accurate indoor thermal models. A linear

Yi Zhao, Valentin Gies, Jean-Marc Ginoux

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 869–895

Article | 01-December-2016

CALCULATION AND SIMULATION OF ELECTROMAGNETIC WAVE PROPAGATION PATH LOSS BASED ON MATLAB

In order to reliable data transmission of wireless sensor network (WSN) in indoor environment, the indoor field intensity distribution and transmission characteristics of electromagnetic wave were researched. First of all, the 3D model in specific indoor environment was built by the finite difference time domain method (FDTD).Then, layout of room, different furniture, position of field source and field source frequency had an influence on indoor field intensity distribution that were studied

Song Yongxian, Zhang xianjin

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 4, 1943–1970

Research Article | 15-February-2020

Performance Study of Virtual Fence Unit Using Wireless Sensor Network

This paper presents the experiments and performance analysis of virtual fence unit consists of microwave motion detector and IEEE 802.15.4 wireless sensor network (WSN) for maximum sensing range. In particular, the analysis is focusing on the maximum sensing range in terms of azimuth angle, height, sensitivity level for indoor and outdoor implementation. The WSN platform is developed using Octopus II sensor nodes while the microwave motion detector is HB100 which detects the movement using

H.T Chan, T.A Rahman, A. Arsad

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–4

Article | 05-September-2013

An ADAPTIVE TRAFFIC LIGHT CONTROL SCHEME AND ITS IMPLEMENTATIONIN WSN-BASED ITS

We investigate the problem of adaptive control of traffic lights using real-time traffic information collected by a wireless sensor network (WSN). Previous studies mainly focused on optimizing the intervals of green lights in a fixed sequence of traffic lights, and ignored some traffic flow’s characteristics and special traffic circumstances. In this paper, an adaptive traffic light control scheme has been proposed, in which the sequence of traffic lights can be adjusted dynamically in

Binbin Zhou, Jiannong Cao, Jingjing Li

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 4, 1559–1581

Article | 01-September-2014

ANALYSIS OF NON-BINARY FAULT TOLERANT EVENT DETECTION IN WIRELESS SENSOR NETWORKS

A distributed non-binary fault tolerant event detection technique is proposed for a wireless sensor network (WSN) consisting of a large number of sensors. The sensor nodes may be faulty due to harsh environment and manufacturing reasons. In the existing works on event detection, the detection of event is decided by only one threshold level. The objective of this paper is to extend the fault recognition and correction algorithm for non-binary event detection. The analysis presented here takes

B Victoria Jancee, S Radha, Nandita Das

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 3, 1287–1309

Research Article | 15-February-2020

Dynamically Reconfigurable Routing Protocol Design for Underwater Wireless Sensor Network

Underwater Wireless Sensor Networks (UWSN) share the common challenges of terrestrial Wireless Sensor Network (WSN), however they are significantly different from terrestrial WSN. Mainly, because acoustic wireless communication is the main physical layer technology in UWSN. Acoustic communication offers longer range, but has limitations due to low speed of sound, high error probability, limited bandwidth capacity, node mobility and 3-dimensional network architecture. Most of the ground based

Beenish Ayaz, Alastair Allen, Marian Wiercigroch

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–5

Article | 01-December-2016

DEVELOPMENT AND CHARACTERIZATION OF A SOLARBASED ENERGY HARVESTING AND POWER MANAGEMENT SYSTEM FOR A WSN NODE APPLIED TO OPTIMIZED GOODS TRANSPORT AND STORAGE

This paper describes a harvesting and power management system that can be equipped with a Wireless Sensor Network (WSN) node in order to harvest energy presents in the environment to be used for sensor node power supply. The proposed scope is to develop a harvesting board exploiting available integrated circuits and devices for extending battery life-cycle of sensor node developed by Medinok SPA. The aim is to realize a WSN able to perform a monitoring of principal physical parameters deemed of

P. Visconti, R. Ferri, M. Pucciarelli, E. Venere

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 4, 1637–1667

research-article | 30-November-2019

Guaranteed time slot trade-off in QOS improvement with IEEE standard 802.15.4 for wireless sensor networks at the MAC layer

S. S. Bamber

International Journal on Smart Sensing and Intelligent Systems, Volume 13 , ISSUE 1, 1–12

Article | 17-January-2018

A NOVEL INTEGRATED WIRELESS SENSOR NETWORK ARCHITECTURE FOR DISASTER PREVENTION

Md. Abdullah-al MAMUN, Yuji koi, Naoshi Nakaya, Goutam Chakraborty

International Journal on Smart Sensing and Intelligent Systems, Volume 2 , ISSUE 2, 309–328

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