Turkish Journal of Computer and Mathematics Education ___________________________________________________________________________ 1892 Vol.12 No.6 (2021), 1892-1899 Research Article Hybrid Clustering and Routing Algorithm for Node Performance Improvement in Wireless Sensor Networks Gopal Ram M.Tech. Student, Department of CSE Kautilya Institute of Technology & Engineering Jaipur, Rajasthan (India) E-Mail: gopalram02sept1993@gmail.com Chetan Kumar Associate Professor, Department of CSE Kautilya Institute of Technology & Engineering Jaipur, Rajasthan (India) E-Mail: chetanmnit@yahoo.co.in Article History: Received: 10 November 2020; Revised 12 January 2021 Accepted: 27 Janu- ary 2021; Published online: 5 April 2021 ________________________________________________________ Abstract These days Wireless Sensor Networks (WSN) have been used in various Internet of Things (IoT) ap- plications viz., healthcare monitoring, disaster management, smart buildings, smart farming etc. it is one of the substitutes for solving distinct problems of IoT in various areas. This paper proposed a hybrid clustering and routing algorithm. We develop a simulation area for node movement and communication. A hybrid clustering and routing (HCR) protocol proposed for reliable and efficient data collection in large-scale wireless sensor network. Theoretical analysis and simulation results will prove the connec- tivity and efficiency of the network topology generated by HCR. Index Terms—Wireless sensor network, joint cluster, routing, throughput, energy, node life time. ________________________________________________________ 1. INRODUCTION WSN is an association of compact micro sensors with wireless communication capabilities. Like many advance technologies, WSN owe its root in heavy industrial applications as well as mili- tary applications. The first wireless network that is inline with the latest WSN is the Sound Surveillance System (SOSUS) developed on submerged acoustic sensors. Sensors in SOSUS were distributed in the Pacific ocean Atlantic oceans. Stimulated by the developments pertaining to Internet in 1960s and 1970s to develop the hard- ware for today’s Internet, Defence Advanced Research Projects Agency (DARPA) initiated the Network (DSN) program in 1980[21]. The motive was to explore the design challenges related to WSN. With the birth of DSN and its penetration into education through Carnegie Mellon University and the Massachusetts Institute of Technology, WSN technology could find its base in household, education and civilian scientific research. Very soon, public and private communities started deploying sensors to monitor air quality, detect forest fire, forecast weather, prevent natural disaster etc. The sensors however at that time were bulky, expensive and made use of proprietary protocols. The use of such WSNs thus