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A Game Theory Based Strategy For Reducing Energy Consumption In Cognitive Wsn

Discussion in 'Energy Efficiency in Wireless Sensor Networks' started by Homaei, Jan 30, 2014.

  1. Homaei

    Homaei Administrator Staff Member

    A Game Theory Based Strategy for Reducing Energy Consumption in Cognitive WSN

    Elena Romero, Javier Blesa, Alvaro Araujo, and Octavio Nieto-Taladriz
    ETSI Telecomunicación, Universidad Politécnica de Madrid, 28040 Madrid, Spain

    Received 6 September 2013; Revised 28 November 2013; Accepted 19 December 2013; Published 28 January 2014

    Academic Editor: Al-Sakib Khan Pathan

    Abstract
    Wireless sensor networks (WSNs) are one of the most important users of wireless communication technologies in the coming years and some challenges in this area must be addressed for their complete development. Energy consumption and spectrum availability are two of the most severe constraints of WSNs due to their intrinsic nature. The introduction of cognitive capabilities into these networks has arisen to face the issue of spectrum scarcity but could be used to face energy challenges too due to their new range of communication possibilities. In this paper a new strategy based on game theory for cognitive WSNs is discussed. The presented strategy improves energy consumption by taking advantage of the new change-communication-channel capability. Based on game theory, the strategy decides when to change the transmission channel depending on the behavior of the rest of the network nodes. The strategy presented is lightweight but still has higher energy saving rates as compared to noncognitive networks and even to other strategies based on scheduled spectrum sensing. Simulations are presented for several scenarios that demonstrate energy saving rates of around 65% as compared to WSNs without cognitive techniques.

    1. Introduction

    Global data traffic in telecommunications grows annually at a rate of 70%. The increasing number of wireless devices that are accessing mobile networks worldwide is one of the primary contributors to traffic growth. The number of mobile-connected devices will exceed the world’s population in 2013 according to the CISCO report [1]. One of the main causes of this spectacular growth of mobile traffic is the increase in mobile-connected laptops and tablets and the emergence of smartphones whose use has increased by 82% in 2012. Handsets will exceed 50% of mobile data traffic in 2013. All of these devices (smartphones, tablets, and laptops) are usually connected via Wi-Fi or Bluetooth, which work on a 2.4 GHz unlicensed band.


    Author: Mohammad Hossein Homaei
    Supported by: www.wsnlab.org

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