Research Area:  Wireless Sensor Networks
Wireless Sensor Network plays a vital role and part of real time communication applications. Location of unknown node is difficult to find in the presence of mobile sensor nodes. Navigator plays an important role in identifying network fault and unknown node location. In existing schemes, either trilateration or geographical position routing were deployed to increase the location accuracy. In this research, Neighbor based Cluster Location Aware Routing (NCLAR) is proposed to achieve more packet delivery rate with high location accuracy. It consists of three phases. In first phase, cluster region is formed with less signal delay value and more signal strength. In second phase, neighbor node routing table is constructed and updated with addition of more fields. These fields are reliability, probability of successful transmission of packets and delay. The back off timer is estimated to update the table within a periodical time. In last phase, location status navigator is calculated to increase location accuracy and to maximize the packet delivery ratio. Based on the simulation results, the proposed scheme NCLAR achieves high location accuracy, more packet delivery ratio, less overhead, less delay and high network lifetime.
Author(s) Name:  T. Karthikeyan, V. Brindha and P. Manimegalai
Journal name:  Wireless Personal Communications
Publisher name:  Springer
Volume Information:  volume 103, pages 3025–3039 (2018)
Paper Link:   https://link.springer.com/article/10.1007/s11277-018-5991-z