http://www.iaeme.com/IJARET/index.asp 2574 editor@iaeme.com International Journal of Advanced Research in Engineering and Technology (IJARET) Volume 11, Issue 12, December 2020, pp. 2574-2582, Article ID: IJARET_11_12_242 Available online at http://www.iaeme.com/ijaret/issues.asp?JType=IJARET&VType=11&IType=12 ISSN Print: 0976-6480 and ISSN Online: 0976-6499 DOI: 10.34218/IJARET.11.12.2020.242 © IAEME Publication Scopus Indexed IMPROVING QoS USING OVERLAPPING CLUSTERS IN WIRELESS SENSOR NETWORK Devendra Rao B V., Satyanarayana V. Nandury. CSIR – Indian Institute of Chemical Technology, Hyderabad, Telangana, India Vasumathi D. Professor, UCEH, Jawaharlal Nehru Technological University Hyderabad, Hyderabad, Telangana, India ABSTRACT Wireless Sensor Networks (WSNs) are composed with number of low powered, inexpensive wireless sensors to monitor and detect the assigned phenomena in the deployed area. WSNs mostly employs clustering methods for operational efficiency. Clusters are formed on the basis of their residual energy, distance and node density. While forming clusters, often tend to overlap with neighbouring clusters creates overlap region. Nodes deployed in the overlapped region are able to communicate with reachable cluster heads. We propose an algorithm for improving Quality of Service (QoS) using common nodes in overlapped region. Quality of Service parameters like path optimization, end to end delay, dead nodes and residual energy are compared with existing algorithms. Simulations results have shown that our algorithm outperforms the compared traditional approaches. Keywords: Cluster overlapping, Dead nodes, Residual energy, Delay, QoS, WSN Cite this Article: Devendra Rao B V., Satyanarayana V. Nandury and Vasumathi D, Improving QoS using Overlapping Clusters in Wireless Sensor Network. International Journal of Advanced Research in Engineering and Technology, 11(12), 2020, pp. 2574-2582. http://www.iaeme.com/IJARET/issues.asp?JType=IJARET&VType=11&IType=12 1. INTRODUCTION Wireless sensor network (WSN) is usually deployed in applications that need remote monitoring of phenomena in the deployed area. For better conditions and ease of flow of information across the sensors the wireless sensors are networked to process and transmit information to Base station. WSNs are comprise of miniature, low memory and limited battery powered sensors. In most cases it is not possible to recharge these sensors. Wireless Sensor Networks are widely used in defence applications, industrial detection, disaster warming, wildlife protection, environmental monitoring, and smart home systems etc.