At the present, energy aware routing is one of the most important research topics in wireless sensor networks. Increasing network lifetime is the most challenging need in these networks. In this study, in order to increase network lifetime, we aim to introduce a harmony search algorithm as a successful meta-heuristic algorithm for routing in the wireless sensor networks. In customizing the algorithm for routing, two following criteria, which result in increasing network lifetime, have been considered: reducing energy consumption and proper distribution of energy consumption between sensor nodes. Simulation results clearly showed the ability of this algorithm in finding the optimum route and proper balance between the abovementioned criteria. Moreover, to compare the recommended method with other methods in identical conditions, an implementation of a genetic algorithm has been carried out. Results showed the better performance of harmony search algorithm in increasing network lifetime in compared with genetic algorithm
Rezaeenejad, M., Rahiminasab, M., & Mousavi, S. A. (2021). Energy Aware Routing in Wireless Sensor Networks Using Harmony Search Algorithm. Soft Computing Journal, 1(1), 2-15.
MLA
Mehdi Rezaeenejad; Majid Rahiminasab; Seyed Abdolmajid Mousavi. "Energy Aware Routing in Wireless Sensor Networks Using Harmony Search Algorithm". Soft Computing Journal, 1, 1, 2021, 2-15.
HARVARD
Rezaeenejad, M., Rahiminasab, M., Mousavi, S. A. (2021). 'Energy Aware Routing in Wireless Sensor Networks Using Harmony Search Algorithm', Soft Computing Journal, 1(1), pp. 2-15.
VANCOUVER
Rezaeenejad, M., Rahiminasab, M., Mousavi, S. A. Energy Aware Routing in Wireless Sensor Networks Using Harmony Search Algorithm. Soft Computing Journal, 2021; 1(1): 2-15.
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