On the performance of adaptive coding schemes for energy efficient and reliable clustered wireless sensor networks
Clustering is the key for energy constrained wireless sensor networks (WSNs). Energy optimization and communication reliability are the most important consideration in designing efficient clustered WSN. In lossy environment, channel coding is mandatory to ensure reliable and efficient communication....
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| Vydáno v: | Ad hoc networks Ročník 64; s. 99 - 111 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier B.V
01.09.2017
Elsevier |
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| ISSN: | 1570-8705, 1570-8713 |
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| Abstract | Clustering is the key for energy constrained wireless sensor networks (WSNs). Energy optimization and communication reliability are the most important consideration in designing efficient clustered WSN. In lossy environment, channel coding is mandatory to ensure reliable and efficient communication. This reliability is compromised by additional energy of coding and decoding in cluster heads. In this paper, we investigated the trade-off between reliability and energy efficiency and proposed adaptive FEC/FWD and FEC/ARQ coding frameworks for clustered WSNs. The proposed schemes consider channel condition and inter-node distance to decide the adequate channel coding usage. Simulation results show that both the proposed frameworks are energy efficient compared to ARQ schemes and FEC schemes, and suitable to prolong the clustered network lifespan as well as improve the reliability. |
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| AbstractList | Clustering is the key for energy constrained wireless sensor networks (WSNs). Energy optimization and communication reliability are the most important consideration in designing efficient clustered WSN. In lossy environment, channel coding is mandatory to ensure reliable and efficient communication. This reliability is compromised by additional energy of coding and decoding in cluster heads. In this paper, we investigated the trade-off between reliability and energy efficiency and proposed adaptive FEC/FWD and FEC/ARQ coding frameworks for clustered WSNs. The proposed schemes consider channel condition and inter-node distance to decide the adequate channel coding usage. Simulation results show that both the proposed frameworks are energy efficient compared to ARQ schemes and FEC schemes, and suitable to prolong the clustered network lifespan as well as improve the reliability. Clustering is the key for energy constrained wireless sensor networks (WSNs). Energy optimization and communication reliability are the most important consideration in designing efficient clustered WSN. In lossy environment, channel coding is mandatory to ensure reliable and efficient communication. This reliability is compromised by additional energy of coding and decoding in cluster heads. In this paper, we investigated the trade-offbetween reliability and energy efficiency and proposed adaptive FEC/FWD and FEC/ARQ coding frameworks for clustered WSNs. The proposed schemes consider channel condition and inter-node distance to decide the adequate channel coding usage. Simulation results show that both the proposed frameworks are energy efficient compared to ARQ schemes and FEC schemes, and suitable to prolong the clustered network lifespan as well as improve the reliability. |
| Author | El Oualkadi, Ahmed Ez-zazi, Imad Arioua, Mounir Lorenz, Pascal |
| Author_xml | – sequence: 1 givenname: Imad surname: Ez-zazi fullname: Ez-zazi, Imad email: ezzazi@ieee.org, imad.ezzazi@gmail.com organization: Laboratory of Information and Communication Technologies (LabTIC), Abdelmalek Essaadi University, ENSA of Tangier, Morocco – sequence: 2 givenname: Mounir surname: Arioua fullname: Arioua, Mounir email: m.arioua@ieee.org organization: Laboratory of Information and Communication Technologies (LabTIC), Abdelmalek Essaadi University, ENSA of Tangier, Morocco – sequence: 3 givenname: Ahmed surname: El Oualkadi fullname: El Oualkadi, Ahmed email: ahmed.eloualkadi@ieee.org organization: Laboratory of Information and Communication Technologies (LabTIC), Abdelmalek Essaadi University, ENSA of Tangier, Morocco – sequence: 4 givenname: Pascal surname: Lorenz fullname: Lorenz, Pascal email: lorenz@ieee.org organization: GRTC Laboratory, Network and Telecommunication Department, IUT-University of Haute Alsace, Colmar, France |
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| Keywords | Wireless sensor networks Energy efficiency Clustering Reliability Channel coding |
| Language | English |
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