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

Content Provider	IEEE Xplore Digital Library
Author	Barolli, L. Ando, H. Xhafa, F. Durresi, A. Miho, R. Koyama, A.
Copyright Year	2011
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.
Starting Page	388
Ending Page	395
File Size	367549
Page Count	8
File Format	PDF
ISBN	9781612848297
DOI	10.1109/WAINA.2011.84
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-22
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Clustering Algorithms Simulation Sensor Networks Clustering algorithms Batteries Electronic mail Fuzzy Logic Mercury (metals) NS-2 Manganese
Content Type	Text
Resource Type	Article

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