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ACO-Discreet: An Efficient Node Deployment Approach in Wireless Sensor Networks

机译:ACO-admet:无线传感器网络中的高效节点部署方法

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Wireless sensor networks (WSNs) rely on effective deployment of sensing nodes. Efficient sensor deployment with ensured connectivity is a major challenge in WSNs. Several deployment approaches have been proposed in literature to address the connectivity and efficiency of sensor networks. However, most of these works either lack in efficiency or ignore the connectivity issues. In this paper, we propose an efficient and connectivity-based algorithm by modifying the Ant Colony Optimization (ACO) (Liu and He, J Netw Comput Appl 39:310-318, 2014). Traditional ACO algorithms ensure coverage at a high cost and repetitive sensing, which results in resource wastage. Our proposed algorithm reduces the sensing cost with efficient deployment and enhanced connectivity. Simulation results indicate the ability of proposed framework to significantly reduce the coverage cost as well as achieve longer life time for WSNs.
机译:无线传感器网络(WSNS)依靠有效地部署传感节点。高效的传感器部署,确保连接是WSNS​​中的主要挑战。在文献中提出了几种部署方法来解决传感器网络的连接和效率。但是,大多数作品都缺乏效率或忽略连接问题。在本文中,我们通过修改蚁群优化(ACO)(刘和HE,J Netw Comput应用程序39:310-318,2014)提出了一种有效和基于连接的算法。传统的ACO算法确保高成本和重复感测的覆盖率,从而导致资源浪费。我们所提出的算法通过有效的部署和增强的连接来降低传感成本。仿真结果表明,提出框架明显降低覆盖成本的能力以及实现WSN的较长寿命。

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