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Sensors 2016, 16(9), 1380;

A Game Theoretic Optimization Method for Energy Efficient Global Connectivity in Hybrid Wireless Sensor Networks

Department of Mathematical Finance, Gachon University, 1342 Seongnamdaero, Seongnam-si 13120, Korea
Author to whom correspondence should be addressed.
Academic Editor: Mohamed F. Younis
Received: 1 July 2016 / Revised: 12 August 2016 / Accepted: 23 August 2016 / Published: 29 August 2016
(This article belongs to the Section Sensor Networks)
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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. View Full-Text
Keywords: game theory; resource allocation; CDMA; TDMA game theory; resource allocation; CDMA; TDMA

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Lee, J.; Pak, D. A Game Theoretic Optimization Method for Energy Efficient Global Connectivity in Hybrid Wireless Sensor Networks. Sensors 2016, 16, 1380.

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