Approximations of multiobjective optimization for dynamic spectrum allocation in wireless sensor networks

Author

Byun, Sang-Seon ; Balasingham, Ilangko

Author_Institution

Dept. Electron. & Telecommun., Norwegian Univ. of Sci. & Technol., Trondheim, Norway

fYear

2010

fDate

9-13 Jan. 2010

Firstpage

427

Lastpage

428

Abstract

This paper considers the problem of the centralized spectrum allocation in wireless sensor networks towards the following goals: (i) maximizing fairness, (ii) maximizing spectrum utilization, (iii) reflecting the priority among sensor data, and (iv) avoiding unnecessary spectrum handoff. We cast this problem into a biobjective mixed integer nonconvex nonlinear programming that is absolutely intractable to solve at least globally without any aid of conversion and approximation. We tackle this intractability with convexification, scalarization, and rounding method that yield good approximate integer solutions.

Keywords

approximation theory; concave programming; convex programming; integer programming; radio spectrum management; wireless sensor networks; approximate integer solution; biobjective mixed integer nonconvex nonlinear programming; centralized spectrum allocation; convexification method; dynamic spectrum allocation; fairness maximization; multiobjective optimization approximation; rounding method; scalarization method; spectrum utilization maximization; wireless sensor networks; Biosensors; Cognitive radio; Frequency synchronization; Hospitals; Paper technology; Radio spectrum management; Radiofrequency identification; Resource management; Timing; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics (ICCE), 2010 Digest of Technical Papers International Conference on

Conference_Location

Las Vegas, NV

Print_ISBN

978-1-4244-4314-7

Electronic_ISBN

978-1-4244-4316-1

Type

conf

DOI

10.1109/ICCE.2010.5418873

Filename

5418873