RMOWOA: A Revamped Multi-Objective Whale Optimization Algorithm for Maximizing the Lifetime of a Network in Wireless Sensor Networks
Authors:
- 6 August 2024
- journal article
- research article
- Published by Springer Nature in International Journal of Parallel Programming
- Vol. 52 (5-6) , 325-366
Abstract
No abstract availableKeywords
This publication has 32 references indexed in Scilit:
- LBR‐GWO: Layered based routing approach using grey wolf optimization algorithm in wireless sensor networksConcurrency and Computation: Practice and Experience, 2021
- A method for routing and data aggregating in cluster‐based wireless sensor networksInternational Journal of Communication Systems, 2021
- An energy-aware clustering and two-level routing method in wireless sensor networksComputing, 2020
- MSDG: A novel green data gathering scheme for wireless sensor networksComputer Networks, 2018
- An Energy-Efficient Cluster Head Selection Using Artificial Bees Colony Optimization for Wireless Sensor Networks2018
- SEES: a scalable and energy-efficient scheme for green IoT-based heterogeneous wireless nodesJournal of Ambient Intelligence and Humanized Computing, 2018
- EMGR: Energy-efficient multicast geographic routing in wireless sensor networksComputer Networks, 2017
- The Whale Optimization AlgorithmAdvances in Engineering Software, 2016
- CGC: centralized genetic-based clustering protocol for wireless sensor networks using onion approachTelecommunication Systems, 2015
- Wireless Sensor Networks2008