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Reliable Data Delivery on the Basis of Trust Evaluation in WSN

Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 10)

Abstract

Different applications have come out as in the field of Wireless Sensor Network (WSN) by years of research. At present, Lossy Networks (LLNs) are in the center of area of studies. LLNs are made up of Wireless Personal LANs, low-power Line Communication Networks, and Wireless Sensor Networks. In such LLNs, for sending protected data, routing IPv6 routing protocol is used for minimum-power as well as not reliable networks (RPL) controlled by Internet Engineering Task Force (IETF) routing protocol. A route created by rank-based RPL protocol for the sink based in the rank value and link quality of its neighbors. But, it has few site backs for example, high packet loss rates, maximized latency, and very low security. Packet losses as well as latency get maximized as the length of path (in hops) increases as with every hope a wrong parent link is chosen. For increasing the RPL system and to solving issue stated above, a Trust Management System is proposed. Every node is having a trust value. Trust value will increase or decrease depending to behavior of node and trusted path is selected for delivering the data. For increasing energy efficiency, at the time of data transferring “compress then send” method is used, this results in minimum utilization of energy reduced data size. By making use of cryptography, we gained data security which is the key concern. By analyzing the test outcomes conducted on JUNG simulator shows, our proposed system have increased the packet delivery ratio by having trust management system while transferring the data, increases energy efficiency by utilizing the data compression, network security is improved by utilizing encryption decryption method as compared to present system.

Keywords

Shortest path discovery Data compression techniques LLNs Routing protocol for RPL 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Sinhgad Institute of TechnologyLonavalaIndia

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