Delay effective and correlative velocity (DECV) routing protocol for threshold based cluster head selection in heterogeneous WSN

Abstract

In recent studies internet of things (IOT) and wireless sensor networks (WSN) have been researched extensively. As the wireless sensors are deployed in harsh environments with limited resources which pones it to problems related to link quality, packet drop, energy, link failure, coverage and delay. The mobility of nodes makes this network mobile and more sophisticated. In case of mobile IOT or WSN the nodes direction, velocity, speed, distance and trajectory are crucial parameters. This paper focuses on the packet drop and delay problem in mobile wireless sensor networks while mobile node is moving fast. To solve the delay problem we introduced adaptive method of velocity threshold scheme for fast moving node. Moreover in this paper we present a new algorithm which incorporates velocity threshold based cluster head selection mechanism. The velocity threshold based mechanism allows mobile nodes to choose cluster and cluster head regarding their current locations where we can set high probability and low probability of the location. The method in which this routing protocol chooses cluster head and classify them according to their velocity by setting priorities of the fast moving nodes a suitable cluster head can be chosen to establish network and transmit data from source node to destination node by having minimum delay. This paper presents new routing protocol named delay effective correlative velocity (DECV) routing protocol. We have used MATLAB simulation software to simulate our protocol and to compare with other well-known existing protocols. The simulations used scenario and scope that mobile node distance is not more than 100 meters, speed is not more than 33 meters/seconds. These simulated results show that this protocol is effective in terms of delay.