面向异构WSNs的基于能量感知的簇路由算法

发布时间：2018-02-24 06:04

本文关键词： 异构无线传感网路由能量感知非均匀簇网络寿命　出处：《传感技术学报》2017年09期 　论文类型：期刊论文

【摘要】：有效地使用传感节点的能量,进而延长网络寿命成为设计无线传感网路由协议的一项挑战性的工作。为了延长网络,现存的多数簇路由是面向同构网络。为此,提出分布式能量感知的异构WSNs非均匀分簇路由DEAC(Distributed Energy Aware unequal Clustering)算法。DEAC算法是以EADUC(Energy Aware Distributed Unequal Clustering)为基础,并进行优化。与EADUC不同,DEAC算法从簇头竞选机制、簇间多跳通信中的下一跳转发节点的选择策略以及自适应的节点通信半径的设置三方面进行优化。在簇头竞选机制中,采用退避算法,利用节点的剩余能量以及邻居节点的平均能量设置延时时间;在选择下一跳转发节点时,建立节点的关于能量的度量函数,选择具有最大剩余能量的节点作为下一跳;而在设置节点通信半径时,考虑了距离、剩余能量以及邻居节点数信息。仿真结果表明,与EADUC协议相比,提出的DEAC算法能够有效地延缓第1个节点失效的时间,减少了能耗,扩延网络寿命。
[Abstract]:It is a challenging task to design routing protocols for wireless sensor networks by effectively using the energy of sensor nodes and thus prolonging the network lifetime. In order to extend the network, most of the existing cluster routes are oriented to isomorphic networks. This paper presents a distributed energy-aware heterogeneous WSNs DEAC(Distributed Energy Aware unequal clustering algorithm. DEAC algorithm is based on EADUC(Energy Aware Distributed Unequal clustering and is optimized. The selection strategy of next hop forwarding node and the setting of adaptive node communication radius in multi-hop communication between clusters are optimized. In the election mechanism of cluster head, the Backoff algorithm is adopted. The residual energy of the node and the average energy of the neighbor node are used to set the delay time, and when the next hop-forward node is selected, the energy measurement function of the node is established, and the node with the largest residual energy is selected as the next hop. When the node communication radius is set, the distance, residual energy and neighbor node information are taken into account. The simulation results show that the proposed DEAC algorithm can delay the failure time of the first node effectively and reduce the energy consumption compared with the EADUC protocol. Extend network life.
【作者单位】：驻马店职业技术学院;黄淮学院国际教育学院;
【基金】：国家自然科学基金项目(71073033) 河南省科技攻关计划项目(122102210430)
【分类号】：TN929.5;TP212.9

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