A Mobile Sensor Network System for Monitoring of Unfriendly Environments

Song, Guangming; Zhou, Yaoxin; Ding, Fei; Song, Aiguo

doi:10.3390/s8117259

Cited by 41 publications

(23 citation statements)

References 10 publications

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“…MSN have a variety of applications in different fields, such as military and environment monitoring [4], [5], [6]. One interesting application of MSN is target tracking.…”

Section: Introductionmentioning

confidence: 99%

Controlled Mobility Sensor Networks for Target Tracking Using Ant Colony Optimization

Mourad

Chehade

Snoussi

et al. 2012

IEEE Trans. on Mobile Comput.

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Abstract-In mobile sensor networks, it is important to manage the mobility of the nodes in order to improve the performances of the network. This paper addresses the problem of single target tracking in controlled mobility sensor networks. The proposed method consists of estimating the current position of a single target. Estimated positions are then used to predict the following location of the target. Once an area of interest is defined, the proposed approach consists of moving the mobile nodes in order to cover it in an optimal way. It thus defines a strategy for choosing the set of new sensors locations. Each node is then assigned one position within the set in the way to minimize the total traveled distance by the nodes. While the estimation and the prediction phases are performed using the interval theory, relocating nodes employs the ant colony optimization algorithm. Simulations results corroborate the efficiency of the proposed method compared to the target tracking methods considered for networks with static nodes.

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“…MSN have a variety of applications in different fields, such as military and environment monitoring [4], [5], [6]. One interesting application of MSN is target tracking.…”

Section: Introductionmentioning

confidence: 99%

Controlled Mobility Sensor Networks for Target Tracking Using Ant Colony Optimization

Mourad

Chehade

Snoussi

et al. 2012

IEEE Trans. on Mobile Comput.

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“…Let us consider the sensor previous locations are (3,2), (2,3) and (4,1). Then the predicted value obtained is y 1 is 6 and y 2 is 11.…”

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

“…Mobile sensor networks (MSN) have significant impact upon the efficiency of military and civil applications such as environment monitoring, target surveillance, industrial process observation, tactical systems, etc, [1]. In these scenarios, target tracking is one of the most important applications of mobile sensor networks [2].…”

Section: Introductionmentioning

confidence: 99%

Ant-Colony-based Algorithm for Multi-Target Tracking in Mobile Sensor Networks

BarathKumar¹,

Myilsamy²

2013

IJCA

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Target tracking is one of the applications of Mobile Sensor Networks. Mobility management is the important parameter that affects the performance and lifetime of the Mobile sensor networks. So we need to manage the mobility in a controlled manner. Existing methods attempt to achieve these requirements for controlled mobility single target tracking only. In this paper, we propose a Multi-Target Tracking method using Ant Colony Optimization to satisfy these requirements. In this proposed method, targets current position values are estimated at every time step. Then, predicting the next position value of each target by using the previous time-step estimated values. Interval Analysis is used for estimation and prediction of position values. Then the proposed method consists of moving the mobile node in an optimal way to cover Multi-Target. The optimal path is been chosen by Ant Colony Optimization technique. Simulations results shows the advantages of the proposed method compared to single target tracking methods.

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“…Wireless sensor networks with a large number of multifunctional low power sensor nodes have a broad range of applications, such as battlefield surveillance, environmental monitoring, disaster relief, and healthcare [1][2][3][4][5]. The main task of wireless sensor networks is to collect the sensed data from environment and send them back to the sink node for further processing.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficient and High Speed Error Control Scheme for Real Time Wireless Sensor Networks

Barati

Movaghar

Sabaei

2014

International Journal of Distributed Sensor Networks

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Reliability and energy consumption are two of the main constraints in wireless sensor networks (WSNs). In this paper, a novel energy efficient and high speed error control scheme is introduced that is based on the Redundant Residue Number System (RRNS) allowing real-time application of WSNs. The proposed approach employs a new 3-moduli set {2 2 +1 , 2 2 +1 − 1, 2 − 1} and an efficient reverse converter which relies on the Mixed Radix Conversion (MRC) algorithm and achieves significant improvements both in terms of conversion delay and hardware design. In order to obtain error controllability, two-redundant-moduli set {2 3 +1 − 1, 2 4 +1 − 1} is also added to the main 3-moduli set. The theoretical results backed by simulation tests confirm that the solution put forward in this paper outperforms popular error control methods for WSNs in terms of error controllability, energy efficiency, and reduction of end-to-end delay.

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A Mobile Sensor Network System for Monitoring of Unfriendly Environments

Cited by 41 publications

References 10 publications

Controlled Mobility Sensor Networks for Target Tracking Using Ant Colony Optimization

Controlled Mobility Sensor Networks for Target Tracking Using Ant Colony Optimization

Ant-Colony-based Algorithm for Multi-Target Tracking in Mobile Sensor Networks

Energy Efficient and High Speed Error Control Scheme for Real Time Wireless Sensor Networks

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