Fattah, Salmah and Ahmedy, Ismail and Idris, Mohd Yamani Idna and Gani, Abdullah (2022) Hybrid multi-objective node deployment for energy-coverage problem in mobile underwater wireless sensor networks. International Journal of Distributed Sensor Networks, 18 (9). ISSN 1550-1329, DOI https://doi.org/10.1177/15501329221123533.
Full text not available from this repository.Abstract
Underwater wireless sensor networks have grown considerably in recent years and now contribute substantially to ocean surveillance applications, marine monitoring and target detection. However, the existing deployment solutions struggle to address the deployment of mobile underwater sensor nodes as a stochastic system. The system faces internal and external environment problems that must be addressed for maximum coverage in the deployment region while minimizing energy consumption. In addition, the existing traditional approaches have limitations of improving simultaneously the objective function of network coverage and the dissipated energy in mobility, sensing and redundant coverage. The proposed solution introduced a hybrid adaptive multi-parent crossover genetic algorithm and fuzzy dominance-based decomposition approach by adapting the original non-dominated sorting genetic algorithm II. This study evaluated the solution to substantiate its efficacy, particularly regarding the nodes' coverage rate, energy consumption and the system's Pareto optimal metrics and execution time. The results and comparative analysis indicate that the Multi-Objective Optimisation Genetic Algorithm based on Adaptive Multi-Parent Crossover and Fuzzy Dominance (MOGA-AMPazy) is a better solution to the multi-objective sensor node deployment problem, outperforming the non-dominated sorting genetic algorithm II, SPEA2 and MOEA/D algorithms. Moreover, MOGA-AMPazy ensures maximum global convergence and has less computational complexity. Ultimately, the proposed solution enables the decision-maker or mission planners to monitor effectively the region of interest.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Multi-objective optimization; Mobile node deployment; Metaheuristic algorithm; Underwater wireless sensor networks; coverage; Energy consumption |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Computer Science & Information Technology |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 07 Sep 2023 06:57 |
| Last Modified: | 07 Sep 2023 06:57 |
| URI: | http://eprints.um.edu.my/id/eprint/41132 |
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