1 Energy Aware Approach in Leach Protocol for Balancing the Cluster Head in Setup Phase: An Application to Wireless Sensor Network Pranshu Saxena 1 , Prasenjit Patra 2 , Neeraj Kumar 3 1 Department of Computer Science & Engineering, Inderprastha Engineering College, 63 Site IV, Sahibabad Industrial Area, Ghaziabad, India pranshusaxena@gmail.com 2 Department of Computer Science, Bengal college of Engineering And Technology, Shahid Sukumar Banerjee Sarani, Bidhan Nagar, Durgapur,WB, India prasenjitkumarpatra@gmail.com 3 Department of Computer Science, Lovely Professional University, Jalandhar- Delhi G.T. Road (NH-1), Phagwara, Punjab, India neerajkmr90@gmail.com. Abstract: -At the Recent time, Wireless Sensor Network (WSN), which consists of thousands of sensor nodes, has been used widely in various fields to monitor various activities and to control machinery so that no exposure take place. But due to the limitations node storage capacity, energy, computational power and difficulty to replace while nodes are up. So these limitations emerge new era for researchers to provide a better energy aware approach in this field focus on how to design a property routing protocol to prolong the life span of network. In this memorandum, we have made an attempt to modify LEACH equation, a traditional and widely accepted routing protocol in WSN -more energy efficient in order to keep the number of sensor nodes alive for the longest period of time by enhancing the cluster head selection technique in the setup phase of the classical LEACH with allowing for the dynamic change of nodes’ energy. In this algorithm we rely on classical Leach in the cluster selection process, later on, our balance cluster by calculating the average number of nodes that evenly placed all alive non cluster nodes in the number of clusters. Later on we compare our result based on three performance metrics to prove nobility of our approach. Keywords: Wireless sensor network, Cluster head, Energy aware routing, Leach protocols, power, lifetime. I. Introduction Some of the distinguished researcher [I. Akyildiz & M.C. Vuran 2010, N. Gross & P. Coy, 1999] from all across the globe notice, Wireless Sensor Network (WSN) is widely considered as one of the most important technologies for the twenty-first century typically consists of a large number of low-cost, low-power, and multifunctional wireless sensor nodes, with sensing, wireless communications and computation capabilities. [Nivetha G. & Venkatalakshmi 2012]. These sensor nodes communicate over short distances via a wireless medium and collaborate to accomplish a common task. Efficient Placement of each individual sensor node is highly desirable in the process to make more proper and resourceful network in term of maximizing the aggregate power and throughput. But, in many WSN applications, the deployment of sensor nodes is performed in an Ad-hoc fashion without careful planning and engineering. Once deployed, the sensor nodes must be able to autonomously organize themselves into a wireless communication network suggested by I. Akyildiz & M. C. Vuran in 2010. These sensor nodes are battery powered and are expected to operate without attendance for a relatively long period of time [figure 1]. In most cases it is very difficult and even impossible to change or recharge batteries for the sensor nodes. WSNs are characterized by denser levels of sensor node deployment, higher unreliability of sensor nodes, and sever power, computation, and memory constraints. Thus, the unique characteristics and constraints present many new challenges for the development and application of WSN.