Hybridization of Pigeon inspired with glowworm' swarm optimization based clustering technique in wireless sensor networks
- 9 April 2022
- journal article
- research article
- Published by Elsevier BV in Microprocessors and Microsystems
- Vol. 91, 104528
- https://doi.org/10.1016/j.micpro.2022.104528
Abstract
No abstract availableKeywords
This publication has 19 references indexed in Scilit:
- Lifetime Improvement in Wireless Sensor Networks using Hybrid Differential Evolution and Simulated Annealing (DESA)Ain Shams Engineering Journal, 2018
- A Pareto optimization-based approach to clustering and routing in Wireless Sensor NetworksJournal of Network and Computer Applications, 2018
- An Energy Efficient Protocol to Mitigate Hot Spot Problem Using Unequal Clustering in WSNWireless Personal Communications, 2018
- A multi objective Tabu particle swarm optimization for effective cluster head selection in WSNCluster Computing, 2018
- Dynamicity of the scout bee phase for an Artificial Bee Colony for optimized cluster head and network parameters for energy efficient sensor routingSIMULATION, 2017
- Energy efficient clustering protocol based on improved metaheuristic in wireless sensor networksJournal of Network and Computer Applications, 2017
- Hybrid HSA and PSO algorithm for energy efficient cluster head selection in wireless sensor networksSwarm and Evolutionary Computation, 2016
- Synchronous Firefly Algorithm for Cluster Head Selection in WSNThe Scientific World Journal, 2015
- Multi-objective fractional artificial bee colony algorithm to energy aware routing protocol in wireless sensor networkWireless Networks, 2015
- A new clustering routing method based on PECE for WSNEURASIP Journal on Wireless Communications and Networking, 2015