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Performance evaluation of sensor deployment using optimization techniques and scheduling approach for K-coverage in WSNs

机译:使用优化技术和调度方法对无线传感器网络中的K覆盖范围进行传感器部署的性能评估

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摘要

In the wireless sensor networks, sensor deployment and coverage are the vital parameter that impacts the network lifetime. Network lifetime can be increased by optimal placement of sensor nodes and optimizing the coverage with the scheduling approach. For sensor deployment, heuristic algorithm is proposed which automatically adjusts the sensing range with overlapping sensing area without affecting the high degree of coverage. In order to demonstrate the network lifetime, we propose a new heuristic algorithm for scheduling which increases the network lifetime in the wireless sensor network. Further, the proposed heuristic algorithm is compared with the existing algorithms such as ant colony optimization, artificial bee colony algorithm and particle swarm optimization. The result reveals that the proposed heuristic algorithm with adjustable sensing range for sensor deployment and scheduling algorithm significantly increases the network lifetime.
机译:在无线传感器网络中,传感器的部署和覆盖范围是影响网络寿命的重要参数。网络寿命可以通过传感器节点的优化放置和使用调度方法优化覆盖范围来延长。对于传感器的部署,提出了一种启发式算法,该算法可自动调整感应范围重叠的感应范围,而不会影响高度覆盖范围。为了证明网络寿命,我们提出了一种新的启发式调度算法,可以增加无线传感器网络的网络寿命。此外,将所提出的启发式算法与现有算法如蚁群优化,人工蜂群算法和粒子群优化进行了比较。结果表明,针对传感器部署和调度算法所提出的具有可调感应范围的启发式算法大大延长了网络寿命。

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