Reliable and energy efficient target coverage for wireless sensor networks

He, Jing; Ji, Shouling; Pan, Yi; Li, Yingshu

doi:10.1016/s1007-0214(11)70066-9

Cited by 17 publications

(12 citation statements)

References 20 publications

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“…This problem is modelled as a maximum cover tree problem to ensure the coverage in a heterogeneous network, and it finds the optimum deployment of the sensor nodes. He et al [9] propose a solution for the problem of target coverage using probability theory. The authors designed a heuristic that allows the organization of the sensor nodes into sensor covers, which are activated to monitor all targets and in which each cover set has a probability of failure.…”

Section: Related Workmentioning

confidence: 99%

Maximum Lifetime Target Coverage in Wireless Sensor Networks

Saadi

Bounceur

Euler

et al. 2019

Wireless Pers Commun

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The challenge in the deployment of wireless sensor networks is to ensure the coverage of targets with high energy efficiency, particularly when coverage constraint and energy constraint must be taken into account. Many algorithms have been suggested over the years to enhance network lifetime as sensor nodes are powered by batteries. These algorithms divide a set of sensor nodes into a number of subsets which can monitor all targets. The subsets are either joint or disjoint. In this paper, we propose an efficient method to compute the maximum lifetime target coverage. Our proposed method is centered around a target that is covered by a minimum number of sensor nodes. Based on this approach, we also propose an algorithm to expand the network lifetime which guarantees the monitoring of all targets by forming subsets of sensor nodes. Our obtained results are compared with the work reported in [1]. They are also compared with a method of computing the maximum lifetime target coverage (MLTC). The results obtained by simulation show that the proposed algorithm enhances the network lifetime, which illustrates the efficiency of this algorithm.

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Section: Related Workmentioning

confidence: 99%

Maximum Lifetime Target Coverage in Wireless Sensor Networks

Saadi

Bounceur

Euler

et al. 2019

Wireless Pers Commun

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“…This approach has the capability of increasing the energy only of 40% based on performance bench marking. Energy addressing issues and life time reliability studies have been done by Heet and others, proposed a model based on greedy technique for estimating the coverage of sensor nodes 10 . The output of this provides less probability failure with very high reliable rates in life of network.…”

Section: Existing Workmentioning

confidence: 99%

Multi-level Structured Tree based Routing for Energy Efficiency in WSN

Regula¹,

Hussain²

2018

IJET

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The manuscript should contain an abstract. The abstract should be self-contained and citation-free and should not exceed 200 words. The abstract should state the purpose, approach, results and conclusions of the work. The author should assume that the reader has some knowledge of the subject but has not read the paper. Thus, the abstract should be intelligible and complete in it-self (no numerical references); it should not cite figures, tables, or sections of the paper. The abstract should be written using third person instead of first person.

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“…These wireless networks are advantageous to wired networks due to the absence of fixed and permanent infrastructures, as well as monitoring and controlling area with limited human intervene. Yet one of the main disadvantages is power consumption, since portable energy sources of supply are limited, irreplaceable and short lived, hence the design of energy efficient systems is a challenge [1].…”

Section: Introductionmentioning

confidence: 99%

Reliability and Failure Rate Evaluation of Lifetime Extension Analysis of Ad Hoc and Wireless Sensor Networks

Majid¹

2020

MMEP

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The reliability and failure rate of evaluating the lifetime extension of Ad Hoc and wireless sensor networks, are analyzed based on a probabilistic network model that assigns a failure probability from each sensor to each target zone, and when sensors are grouped in subsets, network lifetime is extended since redundancy of energizing the sensors is avoided. Theoretical formulation of reliability and failure rates of a model made of parallel sensors covering series targets, is performed, using different probability density functions (PDF) describing the performance reliability of sensors over time. The selection of the extended network lifetime depends on its reliability evaluation, which is induced as a proportionality coefficient for updating lifetime extension by adjusting the contribution of sensors energizing in cyclic time slots. Reliability is reduced with lifetime extension, but both can be increased when the number of sensors is larger than the targeted zones.

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Reliable and energy efficient target coverage for wireless sensor networks

Cited by 17 publications

References 20 publications

Maximum Lifetime Target Coverage in Wireless Sensor Networks

Maximum Lifetime Target Coverage in Wireless Sensor Networks

Multi-level Structured Tree based Routing for Energy Efficiency in WSN

Reliability and Failure Rate Evaluation of Lifetime Extension Analysis of Ad Hoc and Wireless Sensor Networks

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