Article
Lei Yutong,
Wen jian,
Zhao Xuan,
Li Jianyu,
Zhang Junguo
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 2032–2050
Article
Recent trends in wireless sensor networks leads to the development of new protocols for data gathering. In this paper, a secure energy efficient location aware data gathering approach is introduced to secure data gathering. An Elliptic Curve Diffie Hellman Key Exchange (ECDHKE) algorithm is utilized for key generation and key exchange between the sensor nodes to maintain security and prevent the data from malicious nodes. The performance of the proposed scheme is validated in terms of packet
M. Roseline Juliana,
S. Srinivasan
International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1748–1767
Article
There has been growing interest in the application of Wireless Sensor Networks (WSN) in the field of disaster prevention. In such applications, sensor nodes are randomly deployed in an area of interest, a large number of exactly same wireless sensor nodes form a robust mesh network to prevent damages in case of a disaster. In many applications, however, deploying sophisticated sensors on every sensor nodes is unnecessary and very costly. For example, in case of Earthquake one seismographic
Md. Abdullah-al MAMUN,
Yuji koi,
Naoshi Nakaya,
Goutam Chakraborty
International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 309–328
Article
Wireless sensor networks are attracting attention as network technology that is essential to the expansion of the ICT society. One of the challenges facing the implementation of wireless sensor networks is the problem of load concentrations at local sensor nodes. Sink node allocation methods have recently been proposed to resolve this problem, but they do not solve the problem of the dramatic deterioration in operating times caused by an increase in the sensor nodes. This paper proposes a drive
Masato Noto,
Seiji Yoneda
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1533–1558
Article
Sensor network is a data-centric network, which provides data collection, storage and query services. Data storage and query is one of the hot spot in the research of sensor networks. In order to solve the problem of low efficiency of storage and query，high energy consumption in sensor networks, we put forward a scheme that storing distributed data of wireless sensor network based on information processing cloud. Information processing cloud is made up of a group of sensor nodes around the
LUO Qing-Yun,
ZHU Ling-Zhi,
CHAGN Yun-Jie,
ZHAO Jin-Guo,
LIAO Wei-Sheng,
HE Rui
International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1614–1636
Research Article
Increasing interest in security demands privacyaware security systems, which do not use camera, especially for personal home security. As a candidate for this purpose, this paper presents an instant invader detection system that finds an invader by using small sensor nodes distributed on the ground. Once a sensor node detects a suspicious phenomenon, thisinformationiswirelesslytransmittedtothebaseinthehouse. Thispaper,asafirststep,evaluatesthefeasibilityoftheproposed
Ami Iokibe,
Masanori Hashimoto,
Takao Onoye
International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–6
Article
Suman Sankar Bhunia,
Sarbani Roy,
Nandini Mukherjee
International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 2075–2102
Article
Traditional data gathering approaches cannot be applied to Mobile Sensor Network (MSN) due to sparse network density and sensor node mobility. In this paper, we propose a utility based data gathering protocol (UDG). The distance utility is used to indicate the closeness between sensor nodes and the sink node, and the activity utility is used to evaluate the ability of sensor nodes acting as relays. UDG combines the distance utility with the activity utility to make routing decisions. It also
Liu Jieyan,
Wu Lei,
Gong Haigong
International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 953–972
research-article
The wireless sensor network applications have evolved through various applications in multiple domains such as healthcare, smart cities Santos and Ferreira (2019), agriculture, industries, etc. Different parameters can be assessed and monitored with sensor nodes deployed across a given area. A wireless sensor node will comprise of the sensor, a controller/processor, battery to power the node, and the transmission protocol module. This sensor network that contains an array of these nodes is
Alice James,
Avishkar Seth,
Subhas C. Mukhopadhyay
International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 1–18
Article
Zhang Ju-Wei,
Li Na,
Wu Ning-Ning,
Shi Jingzhuo
International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1341–1361
Article
Wireless sensor networks (WSNs) are composed of set sensor nodes communicating through wireless channels with limited resources. Therefore, several routing protocols and approaches about energy efficient operation of WSNs have been proposed. Clustering algorithm based routing protocols are well used for efficient management of sensing sensor node energy resources. However, many researches were focused on optimization of well-known hierarchical routing approaches of WSNs using fuzzy logic system
hassan EL ALAMI,
Abdellah NAJID
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 2286–2306
Research Article
In many outdoor locations solar power provides the greatest power densities for energy harvesting to power wireless sensor networks in comparison to other practical alternative such as wind, vibrations or temperature gradients. Since solar power is highly variable with location and time, it is necessary to optimise the sensor nodes for individual locations. Presented here, is an assessment of the solar power availability in Manchester, UK (53°28′N, 2°14′W). Wireless
Ralph Stevenson-Jones,
Med Benyezzar,
Patricia Scully
International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–5
Article
For the wireless sensor networks (WSNs), MAC layer protocol, relating to system throughput, involving functions of system, concerning the consumption of system energy efficiency, etc. other system indicators, is very important. With the development of WSN, involving vary businesses, the amount and style of data which the sensor nodes detecting is large and divertive. Based on three-dimensional probability CSMA protocol, the proposed protocol, multi-channel three-dimensional probability CSMA
Yifan Zhao
International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 334–352
Article
group of sensor nodes, some sink nodes, and a data centre. The sensor nodes are connected to the sink node, which is connected to a data centre through CDMA or General Packet Radio Service (GPRS) technologies. In order to improve the reliability of wireless transmission, retransmission and redundant path are discussed. The system has been tested for half a year and satisfactory results have been observed, which indicate that this system is useful for urban rail vehicle monitoring.
WU Minghu,
CHEN Rui,
YANG Jie,
JIAO Liangbao
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1822–1839
Research Article
secure communication in distributed sensor networks. The primary security module provides online identity authentication services to new incoming sensor nodes which being distributed after initial deployment. The advanced security module addresses compromised node detection issues to exclude internal compromised nodes. The proposed schemes can accomplish secure communications in the sensor networks when the network lifetime is divided into multiple time intervals. The network security and network
Meng-Yen Hsieh,
Yueh-Min Huang
International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 70–86
Article
Sensor nodes may be deployed in hostile environments. An adversary may compromise the sensor nodes and inject false data into the network, which wastes scarce energy resources of the forwarding nodes. Existing schemes can effectively resist false data injection, but most of them do not consider the identifiers (IDs) attack, the en-route nodes check only the Message Authentication Codes (MACs) and do not verify the nodes identifiers (IDs) of the endorsing reports. In this paper, we propose a
Zhiming Zhang,
Xiaoyong Xiong,
Jiangang Deng
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1637–1652
Article
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 , ISSUE 3, 1287–1309
Research Article
Tarun Dubey,
O.P. Sahu
International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 368–382
Research Article
Decrease in the time interval between the first node death and the last node death, due to the completion of their energy supply, is the main goal of load-balancing methods in Wireless Sensor Networks (WSN). This paper proposes a Load-Balancing Enhancement (LBE) method, in WSN. LBE method uses a mobile data collector to data gathering from sensor nodes. The mobile data collector can directly communicate with the base station. Indeed, the mobile data collector acts as an interface between
Ahmad Patooghy,
Meisam Kamarei,
Ali Farajzadeh,
Fatemeh Tavakoli,
Mehdi Saeidmanesh
International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–5
Article
wireless sensor network into operating and sleeping modes, and can use the different routing protocol. Dual routing protocol individually designs two kinds of different routing protocols in the sensor node, using the merits of these two different kinds of routing protocols to accomplish the mission of sending the data. The scenario set up is when the wireless sensor network has been used for a long time; the power kept in these sensor nodes is different. It is possible that some sensor nodes contain
Jiann-Liang Chen,
Yu-Ming Hsu,
I-Cheng Chang
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 515–539
Article
interest in a facility, as automatic as possible, for the storage and handling of goods, applied for example to a commercial seaport, where stored containers need to be continuously monitored. Battery life-time is a main problem especially in networks where sensor nodes are not easily accessible. For this reason, sensor nodes are commonly equipped with power management devices able to supply power in an intelligent way from the harvester when harvestable energy is available or from backup batteries
P. Visconti,
R. Ferri,
M. Pucciarelli,
E. Venere
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1637–1667
Article
Wireless sensor network is composed of many wireless sensor nodes with the same or different functions. A typical sensor node consists of four parts: sensor unit, information processing unit, wireless communication unit and energy supply unit. In this paper, the existing ant colony algorithm is analyzed, and an improved ant colony optimization algorithm is proposed. The paper presents design of routing protocol and node structure in wireless sensor network based on improved ant colony
Yan Song,
Xiaomei Yao
International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 168–172
Article
Data Aggregation (DA) is one of the most frequently used techniques in Wireless Sensor Networks (WSNs) to improve the network lifetime. It involves gathering, consolidating, and routing the sensory data collected by sensor nodes. However, research studies have demonstrated that the dependability of the DA process affects severely when malicious nodes are present in the network. Many security solutions using cryptography and Intrusion Detection System (IDS) have been proposed in the literature
P. Raghu Vamsi,
Krishna Kant
International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 537–562
Article
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
Yin Zhouping
International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 272–290
Article
is proved under the Random Oracle Model. This scheme can be used by the sensor nodes that with low power, less storage space and low computation ability. It is concluded that the proposed lightweight scheme satisfies the security requirements of WSN.
Zhimin Li,
Xin Xu,
Zexiang Fan
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 799–810
Research Article
The wormhole attack is a severe threat to wireless sensor networks. Most existing countermeasures for detecting and locating wormhole links either require extra hardware or are too complex for the inherently capability-constrained sensor nodes. Actually, wormhole links can enormously change the original sensor network topology. In this paper, we introduce the HCA4DW mechanism for detecting and locating wormholes in wireless sensor networks. It is based on the basic idea that the change of
Lan Yao,
Zhibin Zhao,
Ge Yu
International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 209–223
Research Article
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 , ISSUE 1, 297–316
Research Article
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 , ISSUE 2, 523–547
Research Article
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 , ISSUE 5, 1–4
Research Article
Underwater wireless sensor network (UWSN) is a special kind of wireless sensor network which is composed of a large quantity number of wireless sensor nodes deployed in the water. While there are extensive studies on deploy-issue of terrestrial wireless sensor networks (WSN), UWSN has not been paid enough attention due to the challenges of UWSN, such as low available bandwidth, highly varying multipath, and large propagation delays. In this paper, we propose a depth-adjustment scheme to
Jiagao Wu,
Yinan Wang,
Linfeng Liu
International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 244–258
Article
circumstance to minimize the energy consumption. Furthermore, a new synchronous sleeping/wake schedule mechanism in the medium access control layer is proposed. Sensor nodes can use the forwarding and listening status to schedule their better energy status on demanded. The experiment has been evaluated and analyzed in a test-bed. The result confirms the structure and the proposed mechanism are energy efficiency and gain better trade-off between the accuracy and efficiency.
ChengFang Zhen,
Wenyi LIU,
Hanming WEI
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1997–2017
Article
A random key pre-distribution scheme based on key updating (RKKU) was proposed, which is effective in wireless sensor networks. Firstly, the base station will randomly distribute some keys, a hash function and some code slices to each node. Furthermore, the RKKU scheme compares with the information of some random key to find the same key, and computes the communication key between two sensor nodes with one-way hash function. Since the one-way hash function can ensure that the attacker cannot
ZHU Ling-Zhi,
HE Rui,
ZHANG Jun-Ling
International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 979–996
Article
In order to improve the network coverage, this paper presents the research on wireless sensor network coverage based on improved particle swarm optimization algorithmfor wireless sensor nodes that are randomly deployed in a certain area.In this paper, we use the regional network coverage as the target objective function, and combine various improved particle swarm optimization algorithms to optimize the deployment location of all nodes to enhance the area coverage. The experimental results show
Li Changxing,
Zhang Qing,
Zhang Long-yao
International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 20–25
Research Article
Power of Sensor Nodes, Degree of Neighboring Nodes, Distance between the Node and Base Station, Sensor Node Movement. In this approach, the fuzzy logic evaluates the Cluster Head Selection Probability which is based on the node’s previous communication history to decide the Cluster Head. The proposed algorithm is implemented using Matlab. The simulation results show that the proposed Cluster Head Selection technique is superior to other proposals.
Hemavathi Natarajan,
Sudha Selvara
International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–8
Article
compared with that of an omni-directional sensing scheme. Overall, the results show that for a given sensing range, the proposed directional sensing scheme achieved k-barrier coverage with a fewer number of active sensor nodes than the omni-directional sensing method. Moreover, the directional sensing scheme demonstrates a more robust ability than the omni-directional sensing method in constructing kbarrier coverage as the length of the belt increases or the node density within the sensing field
Kuo-Feng Ssu,
Wei-Tong Wang,
Feng-Kuang Wu,
Tzu-Ting Wu
International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 75–93
Research Article
Outlier detection plays a crucial role in secure monitoring in Wireless Sensor Networks (WSN). Moreover, outlier detection techniques in WSN face the problem of limited resources of transmission bandwidth, energy consumption and storage capacity. In this paper, similar flocking model is proposed and a cluster algorithm based on similar flocking model (CASFM) is put forward to detect outliers in real-time stream data collected by sensor nodes. The similar flocking model improves the Vicsek model
Cheng Chunling,
Wu Hao,
Yu Zhihu,
Zhang Dengyin,
Xu Xiaolong
International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 18–37
Article
monitored targets. This paper proposes a novel duty cycling design for target monitoring sensor networks, which includes two algorithms - sleep scheduling algorithm and gradient query algorithm based on sleep periods. In the proposed design, most of sensor nodes are sleeping, while still keep the functions of target monitoring and information query in the sensor networks. The performance of our design has been evaluated through both theoretical analysis and simulations, which prove the functionality of
Ying Guo,
Feng Hong,
Zhongwen Guo
International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1054–1076
Article
In-network data aggregation plays an important role on energy consumption from the point of reducing the amount of communication in cluster-based wireless sensor networks. The selection of cluster heads is usually based on two criteria which are the number of cluster heads network needed and the times of every node serving as the cluster head. Too much or too little cluster head number will shorten the network lifetime for the energy premature depletion of some sensor nodes, so it has a great
Mingxin Yang
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1935–1955
Research Article
WSN are static, however the UWSN condition keeps on changing due to water current and channel impairment. Therefore the UWSN must be able to dynamically reconfigure itself. The sensor nodes must be able to re-route their communication if the network configuration changes. In this paper we address a fundamental Networking layer issue by developing a dynamically reconfigurable routing protocol. It is a multi-hop datagram routing scheme which will offer reliable underwater wireless communication by
Beenish Ayaz,
Alastair Allen,
Marian Wiercigroch
International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–5
Article
air quality monitoring system based on the technology of wireless sensor networks (WSNs). It also integrates with the global system for mobile communications (GSM). The system consists of sensor nodes, a gateway, and a control center managed by the LabVIEW program through which sensing data can be stored in a database. This system is deployed to the main roads in the Taipei city to monitor the carbon monoxide (CO) concentration caused by vehicle emissions. The experimental results show that
Jen-Hao Liu,
Yu-Fan Chen,
Tzu-Shiang Lin,
Chia-Pang Chen,
Po-Tang Chen,
Tzai-Hung Wen,
Chih-Hong Sun,
Jehn-Yih Juang,
Joe-Air Jiang
International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 191–214
Article
environment and evaluated on a WSN testbed consisting of 15 Telosb sensor nodes. The experimental results show that the proposed method significantly improved the packet delivery ratio in the presence of packet dropping and modification attacks.
P. Raghu Vamsi,
Krishna Kant
International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1362–1383
Article
In this article, we present a method to identify a grouping of sensor nodes that show similar movement patterns in an ad-hoc manner. The motivation behind the ad-hoc grouping is to allow a system to monitor complex and concrete situations of people and/or devices such as “who is/are utilizing what object(s)” and “what objects are carried together” without any supervision of human before and at the time of interaction. An agglomerative hierarchical clustering algorithm was applied to a data
Kaori Fujinami
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 2276–2296
Article
Underwater wireless sensor network nodes deployment optimization problem is studied and underwater wireless sensor nodes deployment determines its capability and lifetime. Underwater wireless sensor network if no wireless sensor node is available in the area due to used up energy or any other reasons, the area which is not detected by any wireless sensor node forms coverage holes. The coverage holes recovery algorithm aiming at the coverage holes in wireless sensor network is designed in this
Hengchang Jing
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1890–1907
Article
storage requirements for sensor nodes and networks gateway. And it minimizes the traffic overhead and bandwidth requirement for sensor networks. Additionally, the framework can predict the future trend of sensory data and provide security for this sensory data. This framework ensures the mobile users obtain their desired data faster.
Chengwei Hu
International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1563–1591
Article
composed of the air temperature and humidity sensor, light intensity sensor and soil moisture sensor. As for the software, uC/OS-II is applied as an operational system to realize multitask scheduling running. The sensor node applies a mechanism as sleeping and waking up work modes to reduce power consumption. The current consumption of sensor nodes is 0.024mA under the sleeping mode, 32.32mA under the data collection, 26.25mA under data transmission and 21.95mA under the operating mode. The results of
Huaqiang Chen,
Weixing Wang,
Baoxia Sun,
Jiangpeng Weng,
Fenglian Tie
International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 207–211
Research paper
these issues. The central controller unit has an in-built algorithm based on two level adaptive branch prediction techniques to detect the period of inactivity of sensor nodes. Further, only one wearable heart rate sensor node is included in the system which measures the heart rate and detects abnormality. The central controller signals an alarm to the user to wear this predicting the sleeping time. This makes the system minimally intrusive and user friendly. Thus the multi-sensor network consists
N. Samanta,
A.K. Chanda,
C. RoyChaudhuri
International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 762–780
Research Article
With the availability of low-cost sensor nodes there have been many standards developed to integrate and network these nodes to form a reliable network allowing many different types of hardware vendors to coexist. Most of these solutions however have aimed at industry-specific interoperability but not the size of the sensor network and the large amount of data which is collected in course of its lifetime. In this paper we use well studied data compression algorithms which optimize on bringing
Vasanth Iyer,
Garimella Ram Murthy,
M.B. Srinivas
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 912–921