Energy Efficient Elliptical Curve based Spherical Grid Routing Protocol for Wireless Sensor Networks

Jai Prakash Prasad

Energy Efficient Elliptical Curve based Spherical Grid Routing Protocol for Wireless Sensor Networks

Jai Prakash Prasad * §

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§ Visvesvaraya Technological University

Energy Efficient Elliptical Curve based Spherical Grid Routing Protocol for Wireless Sensor Networks

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Abstract

The Wireless Sensor Network (WSN) is a collection of no. of mobile nodes which communicate through wireless channel without any existing network infrastructure. Because the resource constrained nature of WSN a data packet routing requires multiple hops to exchange data across the network. In order to facilitate communication within the network, a secure energy efficient routing protocol is used to discover routes between nodes. The proposed energy efficient elliptical curve based spherical grid routing protocol for WSN provides correct and efficient route establishment between a pair of nodes so that data packets can be delivered in time to the destination. Secure route construction can be done with optimized WSN performance matrices such as packet delivery ratio, throughput, minimum energy consumptions, communication overheads & end to end delay. This proposed algorithm evaluates Spherical grid routing protocols for wireless sensor networks protocol while varying no. of nodes and pause time and results are compared with few existing routing protocols using network simulator.

References

13 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Jai Prakash Prasad. 2016. "Energy Efficient Elliptical Curve based Spherical Grid Routing Protocol for Wireless Sensor Networks". Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 16 (GJCST Volume 16 Issue E3).

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GJCST Volume 16 Issue E3

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST-E Classification C.2.2

I.2.9

C.2.1

Submission ReceivedDecember 8, 2015
Peer Review Double Blind
Handling Editor
Accepted January 4, 2016
Published January 15, 2016

Version of record

v1.2

Issue date

May 12, 2016

Language

English

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Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Jai Prakash Prasad, Dr. Suresh Chandra Mohan (PhD/Dr. count: 1)

View Count (all-time): 323

Total Views (Real + Logic): 3046

Total Downloads (simulated): 225

Publish Date: 2016 01, Fri

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Total Views: 3K

Total Downloads: 225

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