Title
A Game Theoretic Optimization Method for Energy Efficient Global Connectivity in Hybrid Wireless Sensor Networks.
Abstract
For practical deployment of wireless sensor networks (WSN), WSNs construct clusters, where a sensor node communicates with other nodes in its cluster, and a cluster head support connectivity between the sensor nodes and a sink node. In hybrid WSNs, cluster heads have cellular network interfaces for global connectivity. However, when WSNs are active and the load of cellular networks is high, the optimal assignment of cluster heads to base stations becomes critical. Therefore, in this paper, we propose a game theoretic model to find the optimal assignment of base stations for hybrid WSNs. Since the communication and energy cost is different according to cellular systems, we devise two game models for TDMA/FDMA and CDMA systems employing power prices to adapt to the varying efficiency of recent wireless technologies. The proposed model is defined on the assumptions of the ideal sensing field, but our evaluation shows that the proposed model is more adaptive and energy efficient than local selections.
Year
DOI
Venue
2016
10.3390/s16091380
SENSORS
Keywords
Field
DocType
game theory,resource allocation,CDMA,TDMA
Sensor node,Key distribution in wireless sensor networks,Base station,Wireless,Computer science,Efficient energy use,Computer network,Cellular network,Time division multiple access,Wireless sensor network,Distributed computing
Journal
Volume
Issue
ISSN
16
9
1424-8220
Citations 
PageRank 
References 
2
0.41
5
Authors
2
Name
Order
Citations
PageRank
JongHyup Lee113910.78
Dohyun Pak230.77