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Journal Article Low Latency and Energy Efficient Routing Tree for Wireless Sensor Networks with Multiple Mobile Sinks
Cited 43 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Seung-Wan Han, In-Seon Jeong, Seung-Ho Kang
Issue Date
2013-01
Citation
Journal of Network and Computer Applications, v.36, no.1, pp.156-166
ISSN
1084-8045
Publisher
Elsevier
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1016/j.jnca.2012.10.003
Abstract
We propose the minimum Wiener index spanning tree (MWST) as a routing topology that is suitable for sensor networks with multiple mobile base nodes. However, it was proved that finding a spanning tree with the minimum Wiener index from a weighted graph is NP-hard. To address this problem and analyze the effectiveness of the MWST as the routing tree on sensor networks with multiple mobile base nodes, we designed two algorithms: a branch and bound algorithm for small-scale wireless sensor networks and a simulated annealing algorithm for large-scale wireless sensor networks. The simulation results show that MWST outperforms the minimum spanning tree (MST), one of the representative spanning trees used in many routing protocols for sensor networks, in terms of energy efficiency and packet delay. © 2012 Elsevier Ltd.
KSP Keywords
Energy efficiency, Energy-Efficient Routing, Low latency, Minimum spanning tree, Mobile Base, Packet Delay, Routing protocol(RP), Routing topology, Routing tree, Simulated Annealing(SA), Simulated Annealing Algorithm