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Issue: July 2018

Volume 3 | Issue 7

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Authors Name: Sarita Simaiya , Dr. Sanjay S Chaudhary , Dr. Anu Bharti
Unique Id: IJRTI1707020
Published In: Volume 2 Issue 7, July-2017
Abstract: ABSTRACT Recent technological advancements in the field of nanotechnology have increased the computation power of the wireless nodes while adhering to the energy constraints. This has made the use of the Wireless Sensor Networks (WSNs), more widespread; used in applications such as area monitoring, industrial monitoring, vehicle detection or military monitoring. Sensor nodes have made it possible to collect data even in hostile environments, but because of the severe security and energy constraints faced by sensor networks, their deployment on a large scale is still a tricky job. A secure energy efficient routing algorithm is thus the need of the hour. This research work presents, “Energy Efficient Secure Routing Model” (EESRM), which is a combined strategy of phase-1 (EERM) and phase-2 (ESRM). First phase method EERM uses combined strategy of multipath routing with clustering approach with security (encryption by blowfish). The proposed framework called Energy efficient & secure routing model (EESRM) which is consists of four interacting components that can be used to design energy-efficient security protocols that are adaptive to the environment, a symmetric-session based key (called SSKS) scheme (based on Blowfish encryption and decryption), energy efficient & secure routing model (called EESRM) an energy-efficient cluster technique (called ECT) and an Error detection mechanism. Each of these components can achieve a certain level of security and energy efficient routing in the wireless sensor networks.
Keywords: Wireless Sensor Network, EESRM, EERM, ESRM, Energy, Security.
Cite Article: "“ENERGY EFFICIENT SECURE ROUTING MODEL (EESRM), FOR WSN”", International Journal of Science & Engineering Development Research (, ISSN:2455-2631, Vol.2, Issue 7, page no.119 - 122, July-2017, Available :
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Publication Details: Published Paper ID: IJRTI1707020
Registration ID:170433
Published In: Volume 2 Issue 7, July-2017
DOI (Digital Object Identifier):
ISSN Number: 2456 - 3315
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