P. Poornapriya, M. Ananthi, Info Institute of Engineering College, Coimbatore, Tamilnadu, India.
DOI : 01.0401/ijaict.2015.11.19
International Journal of Advanced Information and Communication Technology
Received On : April 12, 2018
Revised On : May 15, 2018
Accepted On : June 10, 2018
Published On : July 05, 2018
Volume 05, Issue 07
Pages : 898-904
Abstract
Wireless sensor networks (WSN) are an exacting category of wireless ad hoc networks with the intention of catch the attention of growing concentration, together in academia and business. Routing in WSN is varied with the purpose of reasonable mobile ad-hoc networks. During this process it needs to support several numbers of transmissions such as single transmission, one to multihop transmission and multihop manner to reach destination. One of the major challenges in routing is security. This security and routing delay problem is solved by using data aggregation schemas in recent years. In this paper focus on routing problem in WSN is solved by using Concealed data aggregation schema. During data aggregation process each sensor nodes in the network generates the information of nodes through sensing its objective location and transmits the information of each nodes to specific node which is called as sink node. During this Concealed data aggregation schema generates the information of nodes through sensing its objective location and the information of each sensor nodes is encrypted using public homorphic system without delay in routing, since the proposed routing is performed based on exponential particle swarm optimization (EPSO) which results high well-organized and flexible Concealed data aggregation. Then routing in WSN is performed based on exponential particle swarm optimization (EPSO) with delay function as fitness function. The experimentation work of the proposed system is implemented in network simulation tool NS2 which is reasonable and normally even more less energy consumption results in well-organized than hop-by-hop encryption.
Keywords
Wireless Sensor Networks, Data Encryption, Data Aggregation, Robustness And Reliability, Privacy Homomorphism, Key Predistribution, Delay Performance.
Cite this article
P. Poornapriya, M. Ananthi, “Concealed Data Aggregation and Exponential Particle Swarm Optimization for Delay Performance in Wireless Sensor Networks” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.898-904, July 05, 2018.
Copyright
© 2018 P. Poornapriya, M. Ananthi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.