• Jun 04, 2019 News!IJIEE Vol. 9, No. 2 issue has been published online!   [Click]
  • May 14, 2019 News!Vol.7, No.5-Vol.8, no.2 has been indexed by EI (Inspec).   [Click]
  • Apr 15, 2019 News!Papers published in Vol.8, No.1-No.4 have all received dois from Crossref.
General Information
    • ISSN: 2010-3719 (Online)
    • Abbreviated Title: Int. J. Inf. Electron. Eng.
    • Frequency: Quarterly
    • DOI: 10.18178/IJIEE
    • Editor-in-Chief: Prof. Chandratilak De Silva Liyanage
    • Executive Editor: Jennifer Zeng
    • Abstracting/ Indexing : Google Scholar, Electronic Journals Library, Crossref and ProQuest, Ei (INSPEC, IET), EBSCO.
    • E-mail ijiee@ejournal.net

University of Brunei Darussalam, Brunei Darussalam   
" It is a great honor to serve as the editor-in-chief of IJIEE. I'll work together with the editorial team. Hopefully, The value of IJIEE will be well recognized among the readers in the related field."

IJIEE 2012 Vol.2(3): 374-378 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2012.V2.118

ETSHRA: Energy Efficient Threshold Sensitive Hierarchical Routing Algorithm for Cognitive Wireless Sensor Networks

Shahansha Quadri and Garimella Rama Murthy

Abstract—Today’s wireless networks are regulated by government organizations where a fixed spectrum is assigned to license holders for a specific geographic region. The spectrum usage is dominated in some areas and a major amount of it is underutilized. The spectrum utilization ranges from 15% to 85% depending on the area and time of usage. The limited spectrum availability and its inefficient use have lead to the development of new approaches where licensed and unlicensed networks can exist in the same area and utilize the existing spectrum in the most efficient manner. One such approach is to use a spectrum sensor network to sense the spectrum availability in the primary network (licensed network) and provide the details to the cognitive wireless sensor network (secondary network or unlicensed network). In this paper we propose a novel algorithm for cognitive wireless sensor network to use the available spectrum in the primary network in an opportunistic manner. The main aim of our algorithm is to optimize the data aggregation and transmission process by using hard and soft thresholds while routing the data in the cognitive wireless sensor networks. Our approach when applied to a sensor field reduces the amount of data being transmitted throughout the network and helps in increasing the lifetime of the network. This helps the cognitive wireless sensor network in making quick and right decision while selecting the channel in which it can operate in the primary network. We show that our approach outperforms other existing solutions such as leveling, gossiping and PASCAL up to 35% and is more energy efficient than these solutions.

Index Terms—Clustering, cognitive wireless sensor networks, gossiping, leveling, spectrum holes, spectrum sharing.

S. Quadri is with Tech Mahindra Limited, Pune, India (shahansha.quadri@techmahindra.com).
G. Rama Murthy is with the International Institute of Information Technology, Hyderabad, India (rammurthy@iiit.ac.in).


Cite: Shahansha Quadri and Garimella Rama Murthy, "ETSHRA: Energy Efficient Threshold Sensitive Hierarchical Routing Algorithm for Cognitive Wireless Sensor Networks," International Journal of Information and Electronics Engineering vol. 2, no. 3, pp. 374-378, 2012.

Copyright © 2008-2019. International Journal of Information and Electronics Engineering. All rights reserved.
E-mail: ijiee@ejournal.net