Swarm Inspired Artificial Bee Colony Algorithm for Clustered Wireless Sensor Network

Nowadays, informational broadcasting is critical for establishing a link between a source and a destination node. Wireless Sensor Networks (WSN) have created efficient connectivity because they are a constantly self-configuring, infra-structure-less mobile ecosystem. Due to smaller infrastructures and minimal networks, each customer communicates directly with a base station to obtain valuable information. In WSN, the information transmission is one of the important operations that transmits identical packet to the entire node in the network. During the information broadcasting process, all the neighbouring nodes are capable of forwarding the packets in the community. Based on this transmission the useful information's are forwarding in the network to establish the efficient communication system. Thus, the information broadcasting plays an important vital part in different applications like military, training establishments, crisis administrations, business applications, home and endeavour. Even though the network has several features, the network needs to face various difficulties such as energy consumption, quality of the services; network coverage that reduces the efficiency of the communication process. Therefore, the information transaction is managed by different clustering based routing protocol that reduces the intermediate attacks also maintains the quality of information. We examined the operation of many cluster-based routing protocols and suggested a novel swarm-inspired algorithm for cluster-based wireless sensor networks in this research paper.