A game theory‐inspired channel allocation policy for multi‐radio pervasive ad hoc communications. Issue 13 (4th December 2015)

• Record Type: Journal Article
• Authors: Chiti, Francesco; Fantacci, Romano; Düzgün, Fatma Gamze; Vespri, Vincenzo
• Is Part Of: Wireless communications and mobile computing. Volume 16:Issue 13(2016)
• Page Start: 1826
• Page End: 1836
• Publication Date: 2015-12-04
• Subjects: game theory -- channel allocation schemes -- end‐to‐end throughput -- IEEE 802.11 Ad Hoc Multiradio Systems -- Internet of Things -- capillary networks; Wireless communication systems -- Periodicals; Mobile communication systems -- Periodicals; 621.38205
• DOI: 10.1002/wcm.2654
• Languages: English
• ISSNs: 1530-8669

Abstract

Abstract: The impressive increase of innovative wireless communication technologies and applications represents nowadays a key approach to enable pervasive communications environments. In particular, the emerging paradigms of the Internet of Things and capillary networks offer effective ways to make devices connected. This has triggered the development of effective methodologies and procedures to allow an unlimited number of devices to exchange information mainly in an autonomous mode. However, it is a well‐known concept that wireless networks capacity usually decreases with the number of nodes. In particular, in order to improve the throughput scalability, a promising approach is that of resorting to the use of multiple radio interfaces at each node, in order to exploit spatial reuse of frequencies. Towards this end, game theory methodologies offer efficient approaches to solve the complex radio interfaces selection and allocation problems. This paper proposes a game theory‐inspired approach to efficiently select the number of radio interfaces to be used at each node site in order to lower the energy consumption and maximise the end‐to‐end throughput of any communication on which the node is involved in. The good behaviour of the proposed approach is validated by provided theoretical framework and numerical results derived by considering different data packets wireless forwarding schemes. Copyright © 2015 John Wiley & Sons, Ltd. Abstract : This paper proposes a game theory‐inspired approach to efficiently select the number of radio interfaces to be used at each node in order to lower the energy consumption and maximise the end‐to‐end throughput. The proposed approach is validated by provided theoretical framework and numerical results derived by considering different data packets wireless forwarding schemes.