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An Unequal Multi-hop Balanced Immune Clustering protocol for wireless sensor networks

机译:无线传感器网络的不平等多跳平衡免疫群集协议

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In multi-hop routing, cluster heads near the base station act as relays for far cluster heads and thus will deplete their energy very quickly. Thus, hot spots in the sensor field result. This paper introduces a new clustering algorithm named an Unequal Multi-hop Balanced Immune Clustering protocol (UMBIC) to solve the hot spot problem and improve the lifetime of small and large scale/homogeneous and heterogeneous wireless sensor networks with different densities. UMBIC protocol utilizes the Unequal Clustering Mechanism (UCM) and the Multi-Objective Immune Algorithm (MOIA) to adjust the intra-cluster and inter-cluster energy consumption. The UCM is used to partition the network into clusters of unequal size based on distance with reference to base station and residual energy. While the MOIA constructs an optimum clusters and a routing tree among them based on covering the entire sensor field, ensuring the connectivity among nodes and minimizing the communication cost of all nodes. The UMBIC protocol rotates the role of cluster heads among the nodes only if the residual energy of one of the current cluster heads less than the energy threshold, as a result the time computational and overheads are saved. Simulation results show that, compared with other protocols, the UMBIC protocol can effectively improve the network lifetime, solve the hot spot problem and balance the energy consumption among all nodes in the network. Moreover, it has less overheads and computational complexity. (C) 2016 Elsevier B.V. All rights reserved.
机译:在多跳路由中,靠近基站的群集头充当远程群集头的中继,因此将很快耗尽其能量。因此,导致传感器领域中的热点。本文介绍了一种新的聚类算法,称为不等多跳平衡免疫聚类协议(UMBIC),以解决热点问题并提高具有不同密度的小型和大型/异构和异构无线传感器网络的寿命。 UMBIC协议利用不平等群集机制(UCM)和多目标免疫算法(MOIA)来调整群集内和群集间的能耗。根据参考基站的距离和剩余能量,UCM用于将网络划分为大小不等的群集。 MOIA在覆盖整个传感器领域的基础上构建了一个最佳集群和一个路由树,从而确保了节点之间的连通性并最大程度地降低了所有节点的通信成本。仅当当前簇头之一的剩余能量小于能量阈值时,UMBIC协议才在节点之间轮换簇头的角色,因此节省了时间计算和开销。仿真结果表明,与其他协议相比,UMBIC协议可以有效提高网络寿命,解决热点问题,平衡网络中所有节点之间的能耗。此外,它具有较少的开销和计算复杂度。 (C)2016 Elsevier B.V.保留所有权利。

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