Improved Concentric Clustering Routing Scheme adapted to various environments of sensor networks

Chitiz Gupta, Rahul Jain, R. Lohia, R. Shankar, S. Tapaswi
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Abstract

Wireless sensor networks con sist of sink nodes and multiple sensor nodes that monitor environmental conditions such as pressure, temperature, etc. The main constraint associated with sensor nodes is energy consumption. The Extended Concentric-Clustering Routing Scheme ECCRS [1] is a hybrid mechanism that unifies the chain-based scheme PEGASIS and the clustering scheme. In this paper, we improve the energy consumption in ECCRS further by improving the energy and distance parameters. In our approach, the sensor field is divided into various levels and each level has the same node density as well as the same number of nodes, for which the radius of each level is adjusted accordingly. To improve the energy factor in ECCRS, our proposed scheme creates a set of probable candidates for cluster heads. The cluster head formation of a level from its probable candidate set takes into account the minimum distance between the higher level cluster head the nodes of the probable candidates set of the same level. The simulation results show that our approach is 13% more efficient as compared to ECCRS in terms of energy consumption.
改进的同心聚类路由方案,适应传感器网络的各种环境
无线传感器网络由汇聚节点和多个传感器节点组成,用于监测环境条件,如压力、温度等。与传感器节点相关的主要约束是能量消耗。扩展同心聚类路由方案ECCRS[1]是将基于链的PEGASIS路由方案和聚类路由方案结合起来的一种混合机制。在本文中,我们通过改进能量和距离参数进一步提高ECCRS的能耗。在我们的方法中,传感器场被划分为不同的层次,每一层次具有相同的节点密度和相同的节点数,每一层次的半径相应调整。为了提高ECCRS的能量因子,我们提出的方案创建了一组可能的簇头候选。从一个级别的可能候选集形成一个级别的簇头时,考虑了高一级簇头与同一级别的可能候选集的节点之间的最小距离。仿真结果表明,与ECCRS相比,我们的方法在能耗方面的效率提高了13%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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