Genetic Algorithm-Based Routing Performance Enhancement in Wireless Sensor Networks

This paper presents a series of different routing techniques to be implemented in a wireless sensor network and we consider two main cases. In the first case, we tested both Dijkstra algorithm (DA) and genetic algorithm (GA). In the second case, we have tested and compared the traditional Ad hoc On-Demand Distance Vector Routing protocol (AODV) to the advanced genetic algorithm based AODV Routing protocol (GA-AODV) and the GA only. GA and GA-AODV techniques help in enhancing the performance of the wireless sensor network during link failures. In this case, we have tested routing algorithms while it is considered having faulty nodes to be 15.6% and 31.25% of the functioning nodes. We use simulation to test the algorithms while assuming different mobility speeds of the nodes. Results prove that GA should be used in different network configurations to obtain a better performance in the wireless sensor network.