Modified Genetic Algorithm Approach for Enhancement of WSN Services

To improve the Quality of Services (QoS) which further increases customer usage in WSN-based applications, it is obligatory to use suitable algorithms at the network layer to ensure optimized performance concerning network lifetime, energy consumed, and throughput of a WSN. One such algorithm can be the evolutionary algorithm i.e., genetic algorithm, in this work it is proposed that for the optimization of QoS Cluster-Tree based Genetic Algorithm (CT-GA) is used. Applications such as IoT-based smart environments can be created using such algorithms. This proposed algorithm offers services which are enhanced, the results obtained for services here are energy consumed (.004–009 J), network lifetime (100 iterations) and throughput (1700kbs).