Energy Transfer Data Communication in Wireless Sensor Network Using Improved Firefly Algorithm

The wireless transmission of energy via directed radio frequency waves has the potential to produce always working sensor nodes by refilling the energy stored in the restricted on-board battery. The sensor nodes in WSNs collect environmental data, which is subsequently progressively sent to the networks. The sensor gathers signals and transmits them as data. The data are then relayed over a number of wireless nodes before being sent to the originating node. The large data transfer and high energy consumption of WSNs was not be successfully balanced by the existing routing techniques. In this paper the improved Firefly optimization approach is introduced to avoid this problem. The potential of the newly developed, nature-inspired Firefly algorithm for optimization reduces and addresses a variety of issues in WSN. The improved firefly technique is implemented in this study to find the correct path in sensor networks to transmit the data. In this paper the comparison of numerous network performance measures including average energy consumption (8.6J) end-to-end latency (2.2 ms), packet delivery ratio (1%), throughput (400 kbps), packet loss ratio (0.1%), are used to assess or analyse this routing system. To demonstrate the protocol’s superiority over current protocols, it was compared to them.