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DISTRIBUTED JOINT POWER AND RATE ADAPTATION IN AD HOC NETWORKS

Topics: Ad Hoc Networks of Autonomous Intelligent Systems; Cooperative Mobile Systems; Home Area Networks; Mobile Ad Hoc Networks and Multi-Hop Wireless; Peer-To-Peer Computing and Networking; Pricing Modeling and Solutions; Radio Issues in Wireless Mobile Ad-Hoc and Sensor Networks; Reconfigurable Wireless Networks

Authors: Fredrick Mzee Awuor ; Karim Djouani and Guillaume Noel

Affiliation: French South African Institute of Technology (F’SATI) and Tshwane University of Technology, South Africa

ISBN: 978-989-8425-73-7

Keyword(s): Signal-interference plus noise ratio (SINR), Coupled interference network utility maximization (NUM), Joint power and rate adaptation, Ad hoc networks, Reward, Costing/pricing.

Related Ontology Subjects/Areas/Topics: Ad Hoc Networks of Autonomous Intelligent Systems ; Cooperative Mobile Systems ; Home Area Networks ; Mobile Ad Hoc Networks and Multi-Hop Wireless ; Mobile Software and Services ; Peer-To-Peer Computing ; Pricing Modeling and Solutions ; Radio Issues in Wireless Mobile Ad-Hoc and Sensor Networks ; Reconfigurable Wireless Networks ; Sensor, Mesh and Ad Hoc Communications and Networks ; Telecommunications ; Wireless and Mobile Technologies ; Wireless Information Networks and Systems

Abstract: Ad hoc networks are dynamic and scalable entities that autonomously adapt to nodes entering the network (i.e. increasing interference) or exiting the network (i.e. due to energy depletion), poor connectivity among others. In such networks, nodes exhibit individualistic behaviours where nodes selfishly compete for the limited network resources (i.e. energy and bandwidth) to maximize their own utilities. This consequently degrades network performance leading to low data rates, poor power efficiency, loss of connectivity etcetera. This paper considers a network utility maximization (NUM) strategy based on coupled interference minimization to adapt the transmission power and data rates in ad hoc networks. The proposed distributive joint power and rate adaptation (JRPA) algorithm employs costing (and reward) mechanisms to promote users’ cooperation such that both users’ local and network global optimum is always attained. This is similar to a super-modular game hence the optimality and con vergence of JRPA is analysed using super-modular game theory. Simulation results show that the proposed algorithm improves network performance since users’ are compels to transmit at optimal data rates and power levels just enough to sustain the transmission. (More)

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Paper citation in several formats:
Mzee Awuor F., Djouani K. and Noel G. (2011). DISTRIBUTED JOINT POWER AND RATE ADAPTATION IN AD HOC NETWORKS.In Proceedings of the International Conference on Wireless Information Networks and Systems - Volume 1: WINSYS, (ICETE 2011) ISBN 978-989-8425-73-7, pages 5-11. DOI: 10.5220/0003518100050011

@conference{winsys11,
author={Fredrick Mzee Awuor and Karim Djouani and Guillaume Noel},
title={DISTRIBUTED JOINT POWER AND RATE ADAPTATION IN AD HOC NETWORKS},
booktitle={Proceedings of the International Conference on Wireless Information Networks and Systems - Volume 1: WINSYS, (ICETE 2011)},
year={2011},
pages={5-11},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003518100050011},
isbn={978-989-8425-73-7},
}

TY - CONF

JO - Proceedings of the International Conference on Wireless Information Networks and Systems - Volume 1: WINSYS, (ICETE 2011)
TI - DISTRIBUTED JOINT POWER AND RATE ADAPTATION IN AD HOC NETWORKS
SN - 978-989-8425-73-7
AU - Mzee Awuor F.
AU - Djouani K.
AU - Noel G.
PY - 2011
SP - 5
EP - 11
DO - 10.5220/0003518100050011

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