Authors:
Evangelos D. Spyrou
1
;
Shusen Yang
2
and
Dimitrios K. Mitrakos
1
Affiliations:
1
Aristotle University of Thessaloniki, Greece
;
2
Xi’an Jiaotong University, China
Keyword(s):
Transmission Power, Transmission Reliability, Potential Game, Pareto Optimality, Packet Reception Ratio.
Related
Ontology
Subjects/Areas/Topics:
Connectivity and Communication
;
Network Performance
;
Obstacles
;
Power Management
;
Sensor Networks
;
Software and Architectures
;
Wireless Information Networks
;
Wireless Network Protocols
Abstract:
One of the most significant problems in Wireless Sensor Network (WSN) deployment is the generation of
topologies that maximize transmission reliability and guarantee network connectivity while also maximising
the network’s lifetime. Transmission power settings have a large impact on the aforementioned factors. Increasing
transmission power to provide coverage is the intuitive solution yet with it may come with lower
packet reception and shorter network lifetime. However, decreasing the transmission power may result in
the network being disconnected. To balance these trade-offs we propose a discrete strategy game-theoretic
solution, which we call TopGame that aims to maximize the reliability between nodes while using the most
appropriate level of transmission power that guarantees connectivity. In this paper, we provide the conditions
for the convergence of our algorithm to a pure Nash equilibrium as well as experimental results. Here we
show, using the Indriya WSN testbed, that TopGa
me is more energy-efficient and approaches a similar packet
reception ratio with the current closest state of the art protocol ART.
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