title: Group search optimizer for the mobile location management problem.
abstract: We propose a diversity-guided group search optimizer-based approach for solving the location management problem in mobile computing. The location management problem, which is to find the optimal network configurations of management under the mobile computing environment, is considered here as an optimization problem. The proposed diversity-guided group search optimizer algorithm is realized with the aid of diversity operator, which helps alleviate the premature convergence problem of group search optimizer algorithm, a successful optimization algorithm inspired by the animal behavior. To address the location management problem, diversity-guided group search optimizer algorithm is exploited to optimize network configurations of management by minimizing the sum of location update cost and location paging cost. Experimental results illustrate the effectiveness of the proposed approach.
authors.affiliation: School of Computer Science and Information Engineering, Tianjin University of Science & Technology, Tianjin 300222, China.
authors.forename: Dan
authors.initials: D
authors.lastname: Wang
authors.affiliation: School of Computer Science and Information Engineering, Tianjin University of Science & Technology, Tianjin 300222, China.
authors.forename: Congcong
authors.initials: C
authors.lastname: Xiong
authors.affiliation: State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China ; School of Computer and Communication Engineering, Tianjin University of Technology, Tianjin 300384, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Huang
mesh_terms: D000465:Algorithms; D003195:Computer Communication Networks; D058998:Remote Sensing Technology / Q000379:methods*; D013685:Telecommunications