Coverage Lifetime Maximization

One of the major challenges in constructing wireless sensor networks (WSNs) is to ensure the quality of coverage (QoC) as well as save energy. Considering the cooperative sensing model and the random deployment policy, the judgment model of redundant node without location information is presented. Furthermore, the distributed collaborative scheduling algorithm (DCSA) is designed to guarantee the QoC of networks with the least number of nodes. It chooses the uniformly-located working nodes and makes sure that the energy consumption of each node consumes homogeneously. Simulation results show that the DCSA policy not only provides the desired QoC of networks, but also reduces the number of working nodes significantly, saves the energy of the networks, and extends the network lifetime.

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“…We can also compute the minimum b n when node adopts binary sensing model based on the model proposed in literature [8].…”

Section: Analysis Of Redundancy Nodementioning

confidence: 99%

“…In order to make the energy consumption of nodes distribute evenly, DCSA adopted the node selection mechanism based on the residual energy proposed in literature [8]. Nodes stay in the Back-off state for a random time in [0,T], and T is calculated as follow:…”

Section: Distributed Collaborative Scheduling Algorithm (Dcsa)mentioning

confidence: 99%

Collaborative Scheduling Using Cooperative Sensing Model for Wsns

Meng

Liu

Zhang

et al. 2014

AMM

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A novel distributed algorithm for complete targets coverage in energy harvesting wireless sensor networks

Yang

Chin

2014

2014 IEEE International Conference on Communications (ICC)

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Abstract-A fundamental problem in energy harvesting Wireless Sensor Networks (WSNs) is to maximize coverage, whereby the goal is to capture events of interest that occur in one or more target areas. To this end, this paper addresses the problem of maximizing network lifetime whilst ensuring all targets are monitored continuously by at least one sensor node. Specifically, we will address the Distributed Maximum Lifetime Coverage with Energy Harvesting (DMLC-EH) problem. The objective is to determine a distributed algorithm that allows sensor nodes to form a minimal set cover using local information whilst minimizing missed recharging opportunities. We propose an eligibility test that ensures the sensor nodes with higher energy volunteer to monitor targets. After that, we propose a Maximum Energy Protection (MEP) protocol that places an on-duty node with low energy to sleep while maintaining complete targets coverage. Our results show MEP increases network lifetime by 30% and has 10% less redundancy as compared to two similar algorithms developed for finite battery WSNs.

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Novel Algorithms for Complete Targets Coverage in Energy Harvesting Wireless Sensor Networks

Yang

Chin

2014

IEEE Commun. Lett.

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Coverage Lifetime Maximization

Cited by 4 publications

References 37 publications

Collaborative Scheduling Using Cooperative Sensing Model for Wsns

Collaborative Scheduling Using Cooperative Sensing Model for Wsns

A novel distributed algorithm for complete targets coverage in energy harvesting wireless sensor networks

Novel Algorithms for Complete Targets Coverage in Energy Harvesting Wireless Sensor Networks

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