Lifetime Enhancement of WSN using Energy-Balanced Distributed Clustering Algorithm with Honey Bee Optimization Yuvaraja M.*, Sabrigiriraj M.** *Assistant Professor, Department of Electronics and Communication Engineering, P. A. College of Engineering and Technology, Pollachi, Coimbatore, India **Professor and HOD, Department of Electronics and Communication Engineering, SVS College of Engineering, Coimbatore, India Online published on 9 November, 2016. Abstract Wireless sensor network consists of sensor nodes with sensing and communication capabilities. Typical communication model of wireless sensor network consists of several sensor nodes as group members, sensor head and sinks. Past few years have witnessed increased in the potential use of Wireless Sensor Network (WSN) such as military surveillance, tracking and monitoring, disaster management and combat field reconnaissance. Many issues in WSN are formulated as multidimensional optimization problem and solved through energy based distributed clustering techniques [1]. The main problem in WSN is the lifetime of network. To support scalability, nodes are often grouped in clusters having a leader, often referred as Sensor Head (SH). A SH is responsible for not only sending data to base station but also assists the general nodes to send sensed data to target nodes. The energy consumption of SH is greater than general nodes. Therefore SH selection will affect the lifetime of WSN and also support packet loss. This proposed approach is based on Energy-Balanced Distributed Clustering (EBDC) [2–3] algorithm. Honey bee optimization with some parameters is employed over EBDC algorithm for effective dynamic cluster head selection. This approach helps in increasing the energy consumption. This proposed technique works in three stages: Cluster nodes send data to SH, SH sends data directly to leader and leader sends data to Base Station (BS). Sensor Head (SH) has responsibility to select neighbor node as a Sub Sensor Head (SSH) to reduce overload. Simulations results demonstrate that EBDC-HBO algorithm improves the life time of network. Top Keywords Wireless sensor networks (WSNs), Energy balanced distributed clustering, Network lifetime, Honey Bee Optimization (HBO), Virtual grid, Sensor head (SH), Sub- sensor head (SSH). Top |