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Constructing a CDS-Based Network Backbone for Data Collection in Wireless Sensor Networks
Author(s) -
Xiaoyan Kui,
Yu Sheng,
Huakun Du,
Junbin Liang
Publication year - 2013
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1155/2013/258081
Subject(s) - computer science , connected dominating set , wireless sensor network , backbone network , computer network , energy consumption , construct (python library) , node (physics) , distributed computing , data collection , path (computing) , key distribution in wireless sensor networks , set cover problem , set (abstract data type) , wireless , wireless network , algorithm , telecommunications , mathematics , ecology , statistics , structural engineering , minimum spanning tree , engineering , biology , programming language
Data collection is one of the most important operations in wireless sensor networks. Currently, many researches focus on using a connected dominating set to construct a virtual backbone for data collection in WSNs. Most researchers concentrate on how to construct a minimum connected dominating set because a small virtual backbone incurs less maintenance. Unfortunately, computing a minimum size CDS is NP-hard, and the minimum connected dominating sets may result in unbalanced energy consumption among nodes. In this paper, we investigate the problem of constructing an energy-balanced CDS to effectively preserve the energy of nodes in order to extend the network lifetime in data collection. An energy-balanced connected dominating set scheme named DGA-EBCDS is proposed, and each node in the network can effectively transmit its data to the sink through the virtual backbone. When constructing the virtual backbone in DGA-EBCDS, we prioritize selecting those nodes with higher energy and larger degree. This method makes the energy consumption among nodes more balanced. Furthermore, the routing decision in DGA-EBCDS considers both the path length and the remaining energy of nodes in the path; it further prolongs the lifetime of nodes in the backbone. Our conclusions are verified by extensive simulation results. © 2013 Xiaoyan Kui et al.

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