EECLA: Clustering and Localization Techniques to Improve Energy Efficient Routing in Vehicle Tracking using Wireless Sensor Networks

Abstract

The applications of wireless sensor networks became more usable in daily life. In spite of many proposed techniques and methods, energy efficient routing in WSN is still an open issue. In this paper we made an attempt to give one of the solution for this problem in vehicle tracking system based on the vehicle sensor nodes. We studied many existing works, were failed in handling location and energy efficient routing of vehicle tracking properly. We proposed an algorithm which handles clustering and location at time and improves the performance of the system. This algorithm uses the fundamentals of LEACH, CLAEER and mean shifted algorithm. We conducted a sequence of experiments and our algorithm EECLA (Clustering and Localization Techniques to Improve Energy Efficient Routing in Wireless Sensor Networks) has given better results than the existed one with more accuracy.

Improving Packet Delivery Ratio in Wireless Sensor Network with Multi Factor Strategies

“…Packet low delivery ratio is limitation in this work. Clustering based energy minimization strategies are explored in [23,28,21]. Attack resilient routing in wireless sensor network in discussed in [22,24,25,26,27].…”

Secure Energy Efficient Attack Resilient Routing Technique for Zone based Wireless Sensor Network

“…Neighbor based Cluster Location Aware Routing (NCLAR) is modeled to achieve more packet delivery rate with high location accuracy in [25].Implement a framework for detection of malicious nodes in WSN and elimination of Node in actor nodes by creating a topological structure dynamical by adapting a connectivity point of peer to peer and point to point communications is proposed in [26]. A clustering and localization techniques for improving an efficient energy routing method are schemed in [27]. Certificate revocation based malicious attacker detection and prevention is proposed in [28].…”

http://www.warse.org/IJETER/static/pdf/file/ijeter237892020.pdf

“…A method E2M2MC2 [26] computes routes using back tracking search algorithm and it proves that the effectiveness of delay, packet loss rate, throughput, fairness index and energy consumption.The maximum throughput and packet delivery ration with less energy and bandwidth consumption is achieved using Cognitive Radio Network in [27].The proposed algorithm EEMRCP in [28] achieved greater network lifetime and it reduces the energy consumption and the algorithm proposed in [29,30,32] also save more energy of the network. NCLAR [31] improves the packet delivery ratio with maximum accuracy.…”