Evaluation of an Intelligent Fuzzy-Based Cluster Head Selection System for WSNs Using Different Parameters

2011 IEEE Workshops of International Conference on Advanced Information Networking and Applications Pub Date : 2011-03-22 DOI:10.1109/WAINA.2011.84

L. Barolli, Hironori Ando, F. Xhafa, A. Durresi, Rozeta Miho, A. Koyama

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引用次数: 19

Abstract

Cluster formation and cluster head selection are important problems in sensor network applications and can drastically affect the network's communication energy dissipation. However, selecting of the cluster head is not easy in different environments which may have different characteristics. In our previous work, in order to deal with this problem, we proposed a power reduction algorithm for sensor networks based on fuzzy logic and number of neighbour nodes. We call this algorithm F3N. In this paper, we evaluate F3N and LEACH by many simulation results. We evaluate the performance of our proposed system for tree different parameters: Remaining Battery Power of Sensor (RPS), Degree of Number of Neighbour Nodes (D3N), and Distance from Cluster Centroid (DCC). From the simulation results, we found that the probability of a sensor node to be a cluster head is increased with increase of number of neighbour nodes and remained battery power and is decreased with the increase of distance from the cluster centroid.

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基于模糊的不同参数无线传感器网络簇头选择系统评价

簇的形成和簇头的选择是传感器网络应用中的重要问题，对网络的通信能耗有很大影响。然而，在不同的环境中，簇头的选择并不容易，因为这些环境可能具有不同的特征。在我们之前的工作中，为了解决这个问题，我们提出了一种基于模糊逻辑和邻居节点数量的传感器网络功耗降低算法。我们称这个算法为F3N。在本文中，我们通过许多仿真结果来评估F3N和LEACH。我们用三种不同的参数来评估我们提出的系统的性能:传感器的剩余电池功率(RPS)，邻居节点数量度(D3N)和到集群质心的距离(DCC)。仿真结果表明，传感器节点成为簇头的概率随着邻近节点数量和剩余电池电量的增加而增加，随着离簇质心距离的增加而降低。

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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2011 IEEE Workshops of International Conference on Advanced Information Networking and Applications

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