Improving the quality of service in wireless sensor networks using an enhanced routing genetic protocol for four objectives

<span>Multi-objective algorithms are used to achieve high performance for quality of service (QoS) in wireless sensor networks (WSNs) is an important field researchers because these improve two or more conflicting objectives and present the best trade-off between solve multi-objective problems (MOPs). Previous research proposed algorithm that relies on non-dominated sorting genetic 3 (NSGA-III), namely enhanced routing (ENSGRA). This optimise three objectives, which include number worked sensors, energy consuming node covering area. The fourth objective, load balancing, added current research. Such addition aims distribution around cluster heads decrease network congestion, thus decreasing consumption increasing lifetime. ENSGRA compared with multi-step particle swarm optimisation (MOMSPSO), 2 (NSGA-II), NSGA-III. exceed MOMSPSO, NSGA-II, NSGA-III QoS model final outcomes, as approach achieved (38%) average combination (optimisation) percentage. Which highest percentage over other methods.</span>