University of Hertfordshire

By the same authors

A Dynamic Game with Adaptive Strategies For IEEE 802.15.4 and IoT

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Documents

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Original languageEnglish
Title of host publicationIEEE TrustCom 2016
PublisherIEEE
Number of pages8
ISBN (Print)978-1-5090-3205-1
DOIs
Publication statusPublished - Aug 2016
Event2016 IEEE Trustcom/BigDataSE/I​SPA - Tianjin University, Tianjin, China
Duration: 23 Aug 201626 Aug 2016
Conference number: 38078
http://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=38078

Conference

Conference2016 IEEE Trustcom/BigDataSE/I​SPA
CountryChina
CityTianjin
Period23/08/1626/08/16
Internet address

Abstract

—The problem of selfishness and misbehaviour in
wireless networks is well known, as are the associated solutions
that have been proposed for it in IEEE 802.11 Wireless Local
Area Network (WLAN) and Wireless Sensory Network (WSN).
However, tackling such problem in relation to the Internet
of Things (IoT) is relatively new since the IoT is still under
development. The central communication infrastructure of IoT
is the IEEE 802.15.4 standard which defines low-rate and low
energy wireless personal area networks. In order to share the
medium fairly and efficiently in a beacon-enabled mode, the
standard uses Carrier Sense Multiple Access with Collision
Avoidance (CSMA/CA) in the Contention Access Period (CAP),
and Guarantee Time Slot (GTS) in the Contention Free Period
(CFP) of a super-frame. These channel sharing mechanisms are
known to be vulnerable to selfishness, misbehaviour and channel
capture as a result of nodes disobeying the communication rules.
Most of the existing game theoretic solutions were designed
for IEEE 802.11 WLAN and WSN. In this work, we present
a dynamic game in which nodes can select and adapt their
strategies of play according to the ’state of the game’ and their
energy level in order to increase their utility whenever their
utility declined. Our model enables resources constrained nodes
to optimised their strategies individually based upon the current
state of the game and their available resources. Our analysis
and simulation results suggest an improvement in utility, and
fairness in channel sharing, as well as efficiency in energy usage
in our dynamic model and hence performance and security in
our scheme over the default IEEE 802.15.4 access mechanism.

ID: 10244794