Energy-Efficient Cooperative Routing in Wireless Sensor Networks: A Mixed-Integer Optimization Framework and Explicit Solution

This paper presents an optimization framework for a wireless sensor network whereby, in a given route, the optimal relay selection and power allocation are performed subject to signal-to-noise ratio constraints. The proposed approach determines whether a direct transmission is preferred for a given...

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Vydané v:	IEEE transactions on communications Ročník 61; číslo 8; s. 3424 - 3437
Hlavní autori:	Habibi, J., Ghrayeb, A., Aghdam, A. G.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York, NY IEEE 01.08.2013 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Applied sciences Broadcasting Broadcasting. Videocommunications. Audiovisual Computer networks cooperative routing Detection, estimation, filtering, equalization, prediction energy efficiency Exact sciences and technology explicit solution Information, signal and communications theory Lead Mathematical analysis Mathematical models Miscellaneous mixed-integer optimization multi-parametric programming Optimization Relay relay selection Relays Remote sensors Routing Routing (telecommunications) Services and terminals of telecommunications Signal and communications theory Signal to noise ratio Signal, noise Studies Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Telemetry. Remote supervision. Telewarning. Remote control Transmission and modulation (techniques and equipments) Wireless networks Wireless sensor networks Relaying Relay Wireless telecommunication Data transmission cooperative routing Power allocation Implementation Optimization Remote sensing explicit solution energy efficiency Electric power consumption Broadcasting Off line Minimum energy Signal detection Mixed integer programming Routing Energy policy Wireless sensor networks Simulation Optimal solution relay selection On line processing Wireless network mixed-integer optimization Low-power electronics Sensor array multi-parametric programming Signal to noise ratio
ISSN:	0090-6778, 1558-0857
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Shrnutí:	This paper presents an optimization framework for a wireless sensor network whereby, in a given route, the optimal relay selection and power allocation are performed subject to signal-to-noise ratio constraints. The proposed approach determines whether a direct transmission is preferred for a given configuration of nodes, or a cooperative transmission. In the latter case, for each node, data transmission to the destination node is performed in two consecutive phases: broadcasting and relaying. The proposed strategy provides the best set of relays, the optimal broadcasting power and the optimal power values for the cooperative transmission phase. Once the minimum-energy transmission policy is obtained, the optimal routes from every node to a sink node are built-up using cooperative transmission blocks. We also present a low-complexity implementation approach of the proposed framework and provide an explicit solution to the optimization problem at hand by invoking the theory of multi-parametric programming. This technique provides the optimal solution as a function of measurable parameters in an off-line manner, and hence the on-line computational tasks are reduced to finding the parameters and evaluating simple functions. The proposed efficient approach has many potential applications in real-world problems and, to the best of the authors' knowledge, it has not been applied to communication problems before. Simulations are presented to demonstrate the efficacy of the approach.
Bibliografia:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23
ISSN:	0090-6778 1558-0857
DOI:	10.1109/TCOMM.2013.070213.120570