NDLI: Dynamic overlapping clustering algorithm for Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Suharjono, A. Wirawan Hendrantoro, G.
Copyright Year	2011
Description	Author affiliation: Electrical Engineering Department, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia (Suharjono, A.; Wirawan; Hendrantoro, G.)
Abstract	Clustering is believed to be the solution to the needs of energy efficiency as well as scalability in Wireless Sensor Network (WSN) application. In traditional clustering, each node belongs to only one cluster. However, some applications need some nodes to affiliate to more than one cluster. We propose a clustering algorithm that has capability to control the overlapping between clusters with still having ability to maintain the balance of energy consumption. Our proposed algorithm is a modification version of LEACH, so we call ours as Overlapping LEACH (O-LEACH). In the algorithm, we insert a mechanism so that it is able to control the overlap among clusters. In O-LEACH, as in original LEACH, a non-cluster-head (non-CH) will choose to join to a cluster-head (CH) that has largest received signal strength. Next, OLEACH will ask the node to affiliate to other CH that has received signal strength larger than X% from main CH. The X limit value is determined based on the expected overlapping degree. By simulation evaluation, O-LEACH has succeeded to control the overlapping among clusters. The proposed algorithm also still able to maintain the load balancing among node that be proven with the very little degradation compared to original LEACH on the performance of maintaining the balance of energy consumption.
Starting Page	1
Ending Page	6
File Size	1214121
Page Count	6
File Format	PDF
ISBN	9781457707537
ISSN	21556830
e-ISBN	9781457707520
DOI	10.1109/ICEEI.2011.6021603
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-17
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Wireless sensor networks Energy consumption WSN Heuristic algorithms Clustering algorithms overlapping Energy efficiency clustering dynamic Sensors
Content Type	Text
Resource Type	Article

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