NDLI: Sub Cluster Aided Data Collection in Multihop Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Fei Ye Yao Hua Zhisheng Niu
Copyright Year	2007
Description	Author affiliation: Dept. of Electron. Eng., Tsinghua Univ., Beijing (Fei Ye; Yao Hua; Zhisheng Niu)
Abstract	Clustering is an effective approach to achieve prolonged network lifetime, high energy efficiency and scalability in wireless sensor networks (WSNs). In many real world scenarios, due to the limited communication range of sensor nodes, the cluster heads have to forward their collected data back to the sink via multihop routes. In such cases, data from some nodes are first collected by a cluster head farther away from the sink, and then relayed back towards the sink. Such back and forth data transmission wastes precious energy in WSNs. In this paper, we present the novel concept of sub cluster for energy efficient data collection and relay. The utilization of sub clusters is proved beneficial whenever a clustering scheme is implemented in the context of whatever multihop routing protocols. We propose a protocol, SAIC (sub cluster aided interest-driven clustering) to realize this concept. SAIC is then extended to support a sink moving in discrete pattern. We analyze the benefit of introducing sub clusters, and demonstrate its gain in terms of energy efficiency in simulation. Attractively, a mobile sink boosts the benefit of sub clusters.
Starting Page	3967
Ending Page	3971
File Size	306045
Page Count	5
File Format	PDF
ISBN	1424406587
ISSN	15253511
DOI	10.1109/WCNC.2007.725
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-03-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Spread spectrum communication Wireless sensor networks Routing protocols Energy efficiency Relays Peer to peer computing Communications Society Digital communication Data engineering Power engineering and energy
Content Type	Text
Resource Type	Article

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