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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Turgut, D. Turgut, B. Elmasri, R. Le, T.V. |
| Copyright Year | 2003 |
| Description | Author affiliation: Sch. of Electron. Eng. & Comput. Sci., Central Florida Univ., Orlando, FL, USA (Turgut, D.) |
| Abstract | In this paper, we demonstrate how simulated annealing algorithm can be applied to clustering algorithms used in ad hoc networks; specifically our recently proposed weighted clustering algorithm (WCA) is optimized by simulated annealing. As the simulated annealing stands to be a powerful stochastic search method, its usage for combinatorial optimization problems was found to be applicable in our problem domain. The problem formulation along with the parameters is mapped to be an individual solution as an input to the simulated annealing algorithm. Input consists of a random set of clusterhead set along with its members and the set of all possible dominant sets chosen from a given network of N nodes as obtained from the original WCA. Simulated annealing uses this information to find the best solution defined by computing the objective function and obtaining the best fitness value. The proposed technique is such that each clusterhead handles the maximum possible number of mobile nodes in its cluster in order to facilitate the optimal operation of the MAC protocol. Consequently, it results in the minimum number of clusters and hence clusterheads. Simulation results exhibit improved performance of the optimized WCA than the original WCA. |
| Starting Page | 1492 |
| Ending Page | 1497 |
| File Size | 285716 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780377001 |
| ISSN | 15253511 |
| DOI | 10.1109/WCNC.2003.1200607 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-03-16 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Clustering algorithms Intelligent networks Mobile ad hoc networks Simulated annealing Computational modeling Iterative algorithms Computer simulation Ad hoc networks Computer science Search methods |
| Content Type | Text |
| Resource Type | Article |
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