Title
Optimizing Clustering Algorithm In Mobile Ad Hoc Networks Using Simulated Annealing
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.
Publication Date
1-1-2003
Publication Title
IEEE Wireless Communications and Networking Conference, WCNC
Volume
3
Number of Pages
1492-1497
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/WCNC.2003.1200607
Copyright Status
Unknown
Socpus ID
84907709174 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84907709174
STARS Citation
Turgut, Damla; Turgut, Begumhan; and Elmasri, Ramez, "Optimizing Clustering Algorithm In Mobile Ad Hoc Networks Using Simulated Annealing" (2003). Scopus Export 2000s. 1965.
https://stars.library.ucf.edu/scopus2000/1965