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An Enhanced Energy Balanced Data Transmission Protocol for Underwater Acoustic Sensor Networks
COMSATS Institute of Information Technology, Islamabad.
Allama Iqbal Open University, Islamabad.
COMSATS Institute of Information Technology, Islamabad.
College of Computer and Information Sciences, Almuzahmiyah, King Saud University.
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2016 (English)In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 16, no 4, article id 487Article in journal (Refereed) Published
Abstract [en]

This paper presents two new energy balanced routing protocols for Underwater Acoustic Sensor Networks (UASNs); Efficient and Balanced Energy consumption Technique (EBET) and Enhanced EBET (EEBET). The first proposed protocol avoids direct transmission over long distance to save sufficient amount of energy consumed in the routing process. The second protocol overcomes the deficiencies in both Balanced Transmission Mechanism (BTM) and EBET techniques. EBET selects relay node on the basis of optimal distance threshold which leads to network lifetime prolongation. The initial energy of each sensor node is divided into energy levels for balanced energy consumption. Selection of high energy level node within transmission range avoids long distance direct data transmission. The EEBET incorporates depth threshold to minimize the number of hops between source node and sink while eradicating backward data transmissions. The EBET technique balances energy consumption within successive ring sectors, while, EEBET balances energy consumption of the entire network. In EEBET, optimum number of energy levels are also calculated to further enhance the network lifetime. Effectiveness of the proposed schemes is validated through simulations where these are compared with two existing routing protocols in terms of network lifetime, transmission loss, and throughput. The simulations are conducted under different network radii and varied number of nodes.

Place, publisher, year, edition, pages
2016. Vol. 16, no 4, article id 487
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-5915DOI: 10.3390/s16040487ISI: 000375153700067PubMedID: 27070605Scopus ID: 2-s2.0-84962876038Local ID: 419ff132-9fe3-42a7-879a-114a7a50acadOAI: oai:DiVA.org:ltu-5915DiVA, id: diva2:978791
Note
Validerad; 2016; Nivå 2; 20160418 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Vasilakos, Athanasios

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