Title
Two Meta-Heuristics Designed to Solve the Minimum Connected Dominating Set Problem for Wireless Networks Design and Management
Abstract
Wireless ad hoc and sensor networks play an important role in providing flexible deployment and mobile connectivity for next generation network. Since there is no fixed physical backbone infrastructure, some of the nodes are selected to form a virtual backbone. Efficient algorithms for identifying the Minimum Connected Dominating Set (MCDS) have many practical applications in wireless sensor networks deployment and management. We propose two algorithms in this paper for solving the MCDS problem. The first algorithm called Memetic Algorithm for the MCDS problem, or MA-MCDS shortly. This is a new hybrid algorithm based on genetic algorithm in addition to local search strategies for the MCDS problem. In order to achieve fast performance, MA-MCDS algorithm uses local search and intensification procedures in addition to genetic operations. In the second algorithm, simulated annealing is used to enhance a stochastic local search with the ability to of run away from local solutions. In addition, we present a new objective function that effectively measure the quality of the solutions of our proposed algorithms. Both algorithms are tested using different benchmark test graph sets available in the literature, and shows good results in terms of solution quality.
Year
DOI
Venue
2019
10.1007/s10922-018-9480-1
Journal of Network and Systems Management
Keywords
Field
DocType
Minimum connected dominating set,Memetic algorithm,Simulated annealing,Stochastic local search,Wireless network design
Memetic algorithm,Hybrid algorithm,Computer science,Connected dominating set,Wireless ad hoc network,Local search (optimization),Wireless sensor network,Genetic algorithm,Metaheuristic,Distributed computing
Journal
Volume
Issue
ISSN
27
3
1573-7705
Citations 
PageRank 
References 
0
0.34
40
Authors
4
Name
Order
Citations
PageRank
Abdel-Rahman Hedar140430.79
Rashad Ismail200.34
Gamal A. El-Sayed300.34
Khalid M. Jamil Khayyat400.34