Utility based power control with pricing using MIDRS codes in wireless sensor networks

Valli, R.; Sharmila, A.; Dananjayan, P.

doi:10.1109/shuser.2011.6008505

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…For virtual multiple input multiple output wireless sensor network architecture considered the NE is used to decide the optimal power level at which a node needs to transmit and to maximize its utility. Valli et al [ 121 ] proposed a power control solution for WSN considering MIDRS code in the analytical setting of a game theoretic approach. The game is formulated as a utility maximizing distributed power control game while considering the pricing function and the existence of NE is premeditated.…”

Section: Applications Of Game Theory In Wsnmentioning

confidence: 99%

Game Theory for Wireless Sensor Networks: A Survey

Shi

Wang

Kwok

et al. 2012

Sensors

208

111

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Game theory (GT) is a mathematical method that describes the phenomenon of conflict and cooperation between intelligent rational decision-makers. In particular, the theory has been proven very useful in the design of wireless sensor networks (WSNs). This article surveys the recent developments and findings of GT, its applications in WSNs, and provides the community a general view of this vibrant research area. We first introduce the typical formulation of GT in the WSN application domain. The roles of GT are described that include routing protocol design, topology control, power control and energy saving, packet forwarding, data collection, spectrum allocation, bandwidth allocation, quality of service control, coverage optimization, WSN security, and other sensor management tasks. Then, three variations of game theory are described, namely, the cooperative, non-cooperative, and repeated schemes. Finally, existing problems and future trends are identified for researchers and engineers in the field.

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Section: Applications Of Game Theory In Wsnmentioning

confidence: 99%

Game Theory for Wireless Sensor Networks: A Survey

Shi

Wang

Kwok

et al. 2012

Sensors

208

111

View full text Add to dashboard Cite

show abstract

“…However, other properties of the network have no improvement. In [6], the node transmit power setting problem is considered as a game problem in the network, and the node transmit power is determined by the game solving process. But this kind of game model does not consider the multi-hop routing process of nodes.…”

Section: Introductionmentioning

confidence: 99%

Distributed Dynamic Power Allocation Strategy Based on Energy Balance in Wireless Sensor Networks for Smart Grid

Shao¹,

Wu²,

Yin³

et al. 2019

dtcse

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The characteristics of wireless sensor networks can solve many problems in smart grid construction. The power allocation strategy can effectively improve the energy efficiency of wireless sensor networks, but the static strategy will lead to unbalanced network energy consumption. So we construct a function of the energy condition of the reaction node. The transmission power of nodes is changed dynamically through the exchanging of information between neighbor nodes. And a distributed dynamic power allocation strategy based on energy balance is proposed. Simulation results show that it can effectively prolong the overall survival time of the network. This method can be used in a power system private network.

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Utility based power control with pricing using MIDRS codes in wireless sensor networks

Cited by 2 publications

References 10 publications

Game Theory for Wireless Sensor Networks: A Survey

Game Theory for Wireless Sensor Networks: A Survey

Distributed Dynamic Power Allocation Strategy Based on Energy Balance in Wireless Sensor Networks for Smart Grid

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