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arXiv 1003.3558cs.NI
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基于覆盖和连通性感知的无线传感器网络能量有效路由神经网络

Coverage and Connectivity Aware Neural Network Based Energy Efficient Routing in Wireless Sensor Networks

Neeraj Kumar, Manoj Kumar, R. B. Patel

摘要:

在设计和部署无线传感器网络(WSNs)时存在许多挑战。能量是无线传感器网络的宝贵资源,如何充分利用有限的能量来延长网络的生命周期是无线传感器网络面临的关键挑战之一。网络部署后,应持续监控能耗状况。在本文中,我们提出了覆盖和连通性感知的神经网络的能量有效路由在无线传感器网络的目标是最大限度地提高网络的生命周期。在所提出的计划中,该问题被制定为线性规划(LP)的覆盖和连接意识的约束。簇头选择提出了使用自适应学习神经网络,然后覆盖和连接感知路由与数据传输。所提出的方案与现有的方案进行比较的参数,如存活节点的数量,数据包的交付分数,和节点的剩余能量。仿真结果表明,该方案在无线传感器网络中具有广泛的应用前景。

英文摘要:

There are many challenges when designing and deploying wireless sensor networks (WSNs). One of the key challenges is how to make full use of the limited energy to prolong the lifetime of the network, because energy is a valuable resource in WSNs. The status of energy consumption should be continuously monitored after network deployment. In this paper, we propose coverage and connectivity aware neural network based energy efficient routing in WSN with the objective of maximizing the network lifetime. In the proposed scheme, the problem is formulated as linear programming (LP) with coverage and connectivity aware constraints. Cluster head selection is proposed using adaptive learning in neural networks followed by coverage and connectivity aware routing with data transmission. The proposed scheme is compared with existing schemes with respect to the parameters such as number of alive nodes, packet delivery fraction, and node residual energy. The simulation results show that the proposed scheme can be used in wide area of applications in WSNs.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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