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An Energy-Efficient Sensor Deployment Scheme for Wireless Sensor Networks Using Ant Colony Optimization Algorithm

机译:基于蚁群优化算法的无线传感器网络高效节能传感器部署方案

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摘要

Sensor deployment is one of the most important issues in wireless sensor networks (WSNs), because an efficient deployment scheme can reduce the cost and enhance the detection capability of the WSNs. Due to packet forwarding, sensors closer to the sink consume more energy than those farther away. In this paper, we propose a sensor deployment scheme, which can achieve full coverage of the monitoring area and prolong network lifetime. We consider a real world situation where the initial energy of the sensors is different from each other. First, to achieve full coverage using as few sensors as possible, we compute the average angle between the sensor nodes. Then, we provide two methods to achieve energy balance. In the first method, we propose a sweep-based scheme to move the sensors as requested. In the second method, we transform the deployment problem into the multiple knapsack problem and based on ant colony optimization algorithm, we propose a deployment strategy to improve the network lifetime.
机译:传感器部署是无线传感器网络(WSN)中最重要的问题之一,因为有效的部署方案可以降低成本并增强WSN的检测能力。由于数据包转发,距离接收器较近的传感器比距离较远的传感器消耗更多的能量。在本文中,我们提出了一种传感器部署方案,该方案可以实现对监控区域的完全覆盖并延长网络寿命。我们考虑现实世界中传感器的初始能量彼此不同的情况。首先,为了使用尽可能少的传感器实现完全覆盖,我们计算传感器节点之间的平均角度。然后,我们提供了两种方法来实现能量平衡。在第一种方法中,我们提出了一种基于扫描的方案来按要求移动传感器。在第二种方法中,我们将部署问题转换为多背包问题,并基于蚁群优化算法,提出了一种提高网络寿命的部署策略。

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