Abstract
Game Theory provides a mathematical tool for the analysis of interactions between the agents with conflicting interests, hence it is well suitable tool to model some problems in communication systems, especially, to wireless sensor networks (WSNs) where the prime goal is tominimize energy consumption than high throughput and low delay. In this paper, we use the concept of incomplete cooperative game theory to model an energy efficient MAC protocol for WSNs. This allows us to introduce improved backoff algorithm for energy efficient MAC protocol in WSNs. Finally, our research results show that the improved back off algorithm can improve the overall performance as well as achieve all the goals simultaneously for MAC protocol in WSNs.
Highlights
Communication in wireless sensor networks is divided into several layers
Based on our previous work [14], and using the parameters listed in Table 4, we show the relation of throughput and contention window in Figure 3 with different number of nodes
We use the concept of incomplete cooperative game to improve the performance of a wireless sensor networks (WSNs) Medium Access Control (MAC) protocol
Summary
Communication in wireless sensor networks is divided into several layers. Medium Access Control (MAC) is one of those layers, which enables the successful operation of the network. Each node has a direct influence on its neighboring nodes while accessing the channel These interactions between nodes and aforementioned observations lead us to use the concepts of game theory that could improve the energy efficiency as well as the delay performance of MAC protocol. In [9, 10], authors used the concept of incomplete cooperative game theory in wireless networks for first time and proposed the G-MAC protocol for the same. Their proposed scheme is not suitable for all traffic conditions, especially, nonsaturation traffic condition which is most likely in sensor networks. In the complete information game, each player has all the knowledge about others’ characteristics, strategy spaces, payoff functions, and so forth, but all these information are not necessarily available in incomplete information game [13]
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