65 Rajiv Thapa, Anurag Sharma, Rajni Verma, Sonia Vansal International Journal of Electronics, Electrical and Computational System IJEECS ISSN 2348-117X Volume 6, Issue 12 December 2017 A Comparative Analysis of Enhanced EASSCR and EASSCR Protocol Using NS2 Rajiv Thapa Dept. of Electronics and communication Engineering CT institute of Technology and Research, Jalandhar, India Anurag Sharma Dept. of Electronics and communication Engineering CT institute of Technology and Research, Jalandhar, India Rajni Verma Dept. of Computer Science Engineering Lovely Professional University, Phagwara,India Sonia Vansal Dept. of Computer Science Engineering Satyam Institute of Management and Technical Institute, India ABSTRACT In wireless sensor network (WSN), deployed sensor nodes to detection an event and transmit the data from sensor nodes to the base station (BS). Stability period, energy consumption and network lifetime is a big issue in the WSN. For this purpose, a number of routing algorithms are invented. In this research paper, we are introduced enhanced energy aware sleep scheduling clustered based routing (EEASSCR) protocol is based on the clustering approach. When clustering is an approach used to minimize the energy consumption of such network. Hence it reduces the energy consumption, increase stability period of network and increases the network lifetime Basically, EEASSCR is an enhancement protocol of EASSCR. The comparative analysis of EEASSCR with EASSCR on the basis of end-to-end delay, packet loss, throughput and residual energy is done and it has found that EEASSCR is better. KEYWORDS WSN, EEASSCR, EASSCR, CH, BS INTRODUCTION Wireless sensor networks (WSN) consists of a huge number of sensor nodes are deployed in the different regions at operating in different modes [16] [4]. The sensor nodes are deployed randomly to monitor physical terms such as sound, temperature, vibration, motion or pollutants at different regions. Improvement in wireless communication, electronics, and technological transformation has enabled the expansion of in the field of WSNs due to their different applications such as health, military, automation, home, air pollution, area monitoring, environmental etc. Some components are applicable in WSNs such as sensor node, processor and base station. Sensor nodes are applicable to senses the data and transmit it to the user [2]. These nodes are portable, light in weight and small in size. Basically, sensor nodes collect the data from its distributed area, implement the simple calculations and communicate with other sensor nodes or with the base station (BS). A different technique like as direct communication technique are used to send the data from the sensor node to base station but in the minimum transmission energy sensor nodes are nearest to the base station has the large probability to transmit the data than sensor nodes which are located distant from the base station (BS) [6]. Main challenges for the WSNs are stability period of the network, lifetime of network and energy efficiency of the network because the battery capacities of the sensor nodes are limited and due to the rigid deployment of the sensor nodes, it is impossible to change them [3]. So need to suggest another approach is known as