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Sensors 2015, 15(7), 17572-17620; doi:10.3390/s150717572

Wireless Sensor Network Optimization: Multi-Objective Paradigm

1
Department of Electrical Engineering, COMSATS Institute of Information Technology, Wah Campus, Wah Cantt 47040, Pakistan
2
Department of Electrical and Computer Engineering, Ryerson University, Toronto,ON M5B 2K3, Canada
*
Author to whom correspondence should be addressed.
Academic Editor: Leonhard M. Reindl
Received: 2 June 2015 / Revised: 1 July 2015 / Accepted: 6 July 2015 / Published: 20 July 2015
(This article belongs to the Section Sensor Networks)
View Full-Text   |   Download PDF [3638 KB, uploaded 20 July 2015]   |  

Abstract

Optimization problems relating to wireless sensor network planning, design, deployment and operation often give rise to multi-objective optimization formulations where multiple desirable objectives compete with each other and the decision maker has to select one of the tradeoff solutions. These multiple objectives may or may not conflict with each other. Keeping in view the nature of the application, the sensing scenario and input/output of the problem, the type of optimization problem changes. To address different nature of optimization problems relating to wireless sensor network design, deployment, operation, planing and placement, there exist a plethora of optimization solution types. We review and analyze different desirable objectives to show whether they conflict with each other, support each other or they are design dependent. We also present a generic multi-objective optimization problem relating to wireless sensor network which consists of input variables, required output, objectives and constraints. A list of constraints is also presented to give an overview of different constraints which are considered while formulating the optimization problems in wireless sensor networks. Keeping in view the multi facet coverage of this article relating to multi-objective optimization, this will open up new avenues of research in the area of multi-objective optimization relating to wireless sensor networks. View Full-Text
Keywords: algorithms; conflicting objectives; multi-objective optimization; wireless sensor network algorithms; conflicting objectives; multi-objective optimization; wireless sensor network
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Iqbal, M.; Naeem, M.; Anpalagan, A.; Ahmed, A.; Azam, M. Wireless Sensor Network Optimization: Multi-Objective Paradigm. Sensors 2015, 15, 17572-17620.

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