Fuzzy dstar-lite routing method for energy-efficient heterogeneous wireless sensor networks

Sensor devices, in wireless sensor networks (WSNs), are usually equipped with low-capacity batteries and scattered on areas that cannot be reached in most of the cases to recharge or replace these sensors. The available battery energy in the sensor nodes is barely sufficient to transmit a limited qu...

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Main Authors: Alshawi, Imad S. (Author), Y. Abdulla, Abdul-Kareem (Author), A. Alhijaj, Asaad (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2020-08-01.
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001 ijeecs20915_14035
042 |a dc 
100 1 0 |a Alshawi, Imad S.  |e author 
100 1 0 |e contributor 
700 1 0 |a Y. Abdulla, Abdul-Kareem  |e author 
700 1 0 |a A. Alhijaj, Asaad  |e author 
245 0 0 |a Fuzzy dstar-lite routing method for energy-efficient heterogeneous wireless sensor networks 
260 |b Institute of Advanced Engineering and Science,   |c 2020-08-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20915 
520 |a Sensor devices, in wireless sensor networks (WSNs), are usually equipped with low-capacity batteries and scattered on areas that cannot be reached in most of the cases to recharge or replace these sensors. The available battery energy in the sensor nodes is barely sufficient to transmit a limited quantity of data packets. In this regard, most of the works are designed aiming at achieving high energy efficiency. Due to multiple-hop data transmission and many to one traffic connection, the Imbalanced energy depletion (IED) is an immanent issue in WSNs. Accordingly, this paper suggests an energy efficient routing protocol called fuzzy dstar-lite to produce an optimal pathway data routing for Heterogeneous WSNs (HWSNs). This protocol can also reuse the product path to keep the energy consumption fairly distributed over the nodes of a network. Interestingly, the proposed protocol is demonstrated to be more efficient in decreasing the transmission delay and balancing power consumption when compared with other protocols, i.e. chessboard clustering (CC), PEGASIS, and LEACH. The comparison also showed the proposed protocol has been increased the network lifetime approximately 15%, 40%, and 50% compare with CC, PEGASIS, and LEACH, respectively. 
540 |a Copyright (c) 2020 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690 |a Computer and Information Science 
690 |a Clustering partition; Dstar-lite algorithm; Fuzzy logic; Heterogeneous wireless sensor networks; Network lifetime 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 19, No 2: August 2020; 906-916 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v19.i2 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20915/14035 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20915/14035  |z Get fulltext