Joint Algorithm of Channel Allocation and Power Control in Multi-channel Wireless Sensor Network

  • Authors:

  • Xiaochen Hao;Yaxiao Zhang;Nan Jia;Bin Liu

  • Affiliations:

  • Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China 06004;Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China 06004 and Xi'an Machining Branch of Aerospace Precision Company Limited, Xi'an, China 710077;Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China 06004;Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China 06004

  • Venue:
  • Wireless Personal Communications: An International Journal
  • Year:
  • 2013

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Abstract

In the wireless sensor network, the interference incurred by another transmitter's transmission may disturb other receivers' correct receptions of packets, thus, the add of a new transmission must consider its effect on other transmissions. Additionally, in order to reduce the interference and increase QoS, multi-channel technology is introduced into wireless communication, but the energy cost by the channel switch increases with the interval of channels increasing. Based on the above analysis, we consider an energy efficient joint algorithm of channel allocation and power control (JCAPC) for wireless sensor network. In JCAPC, each link firstly establishes its available channel set on which the transmitter of the link can guarantee its transmission successfully and don't disturb other receivers' transmissions, and then each link chooses a channel from the available channel set according to the energy cost on anti-interference and channel switch. After that, we formulate power control on each channel as a non-cooperative game with utility function including Signal-to-Interference-and-Noise Ratio (SINR) price. In order to reduce the energy cost of the information exchange during the traditional game, we introduce the thought of game virtual playing, in which each link can decide its own transmission power by imitating the game among links with its once collected information. Consequently, JCAPC can not only increase the transmission efficiency but also reduce the nodes' energy waste. Moreover, the existence of Nash Equilibrium (NE) is proven based on super-modular game theory, and it's able to obtain the unique NE by relating this algorithm to myopic best response updates. The introduction of game virtual playing saves the energy cost of network further more by reducing the number of information exchange. Simulation results show that our algorithm can select a channel with good QoS using less energy consumption and provide adequate SINR with less transmit power, which achieves the goal of efficiently reducing energy waste.