Title :
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
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;
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
DOI :
10.1109/ICCE.2010.5418873
