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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yi-Ting Chen Mong-Fong Horng Chih-Cheng Lo Jeng-Shyang Pan Shu-Chuan Chu |
| Copyright Year | 2011 |
| Description | Author affiliation: Dept. of Electronic Engineering, National Kaohsiung University of Applied Sci., Taiwan (Yi-Ting Chen; Mong-Fong Horng; Chih-Cheng Lo; Jeng-Shyang Pan) || School of Information Science, Engineering and Mathematics, Flinders University, Adelaide, Australia (Shu-Chuan Chu) |
| Abstract | In this study, we propose an ACS with flip-flop search strategy to find the route from source node to destination node in an Ad hoc network topology. A flip-flop search strategy is to alternate the search direction towards either high pheromone area or low pheromone area iteratively in the evolution process. The proposed Flip-Flop search strategy effectively solves the pheromone-excess problem in ACS. The ants are allowed to select reverse path to avoid the ants affected by the high pheromone concentration and disable the ability of discover new search area in routing phase. In simulations, the proposed Flip-Flop Ant Colony System (FFACS) is compared with Traditional Ant Colony System in conditions of various deployment densities and topologies of wireless sensor network. The results show that the FFACS has promising ability of discover new search area to reach the better optimal solution than the TACS has. In addition, the robustness and the stability of FFACS are better than TACS. |
| Starting Page | 925 |
| Ending Page | 930 |
| File Size | 983133 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457706523 |
| ISSN | 1062922X |
| e-ISBN | 9781457706530 |
| DOI | 10.1109/ICSMC.2011.6083787 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Flip-flops Routing Convergence Optimization Search problems Stability analysis Ad hoc networks Ant Colony System Flip-Flop Search Robustness Stability |
| Content Type | Text |
| Resource Type | Article |
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