DocumentCode :
1836069
Title :
Power Optimization in Fault-Tolerant Mobile Ad Hoc Networks
Author :
Riganelli, Oliviero ; Grosu, Radu ; Das, Samir R. ; Ramakrishnan, C.R. ; Smolka, Scott A.
Author_Institution :
Dipt. di Mat. e Inf., Univ. di Camerino, Camerino
fYear :
2008
fDate :
3-5 Dec. 2008
Firstpage :
362
Lastpage :
370
Abstract :
In this paper, we investigate the transmission-power assignment problem for k-connected mobile ad hoc networks (MANETs), the problem of optimizing the lifetime of a MANET at a given degree k of connectivity by minimizing power consumption. Our proposed solution is fully distributed and uses a model-based transmission power adaptation strategy based on model-predictive control. Specifically, a stochastic model of the network is used by a state estimator to predict the network´s future degree of connectivity and remaining energy. The predicted states are used by an optimizer to derive an optimal transmission power assignment sequence which tracks the desired connectivity level k while minimizing energy consumption. Our experimental results on a simulated wireless sensor network comprising 100 mobile nodes reveals that our localized topology control algorithm provides an almost identical control policy to that of a globalized scheme which is solving a fully observable problem. The difference, of course, is in the scalability of our localized solution, which requires much less communication bandwidth and energy than the globalized approach.
Keywords :
ad hoc networks; energy consumption; fault tolerance; mobile radio; predictive control; wireless sensor networks; MANET; communication bandwidth; energy consumption; fault-tolerant mobile ad hoc networks; k-connected mobile ad hoc networks; model-based transmission power adaptation strategy; model-predictive control; power optimization; simulated wireless sensor network; transmission-power assignment problem; Adaptation model; Communication system control; Energy consumption; Fault tolerance; Mobile ad hoc networks; Network topology; Predictive models; State estimation; Stochastic processes; Wireless sensor networks; MANET; Sensor Network; Topology Control; k-connectivity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Assurance Systems Engineering Symposium, 2008. HASE 2008. 11th IEEE
Conference_Location :
Nanjing
ISSN :
1530-2059
Print_ISBN :
978-0-7695-3482-4
Type :
conf
DOI :
10.1109/HASE.2008.12
Filename :
4708894
Link To Document :
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