TELKOMNIKA Telecommunication, Computing, Electronics and Control
Extending lifetime of heterogeneous wireless sensor networks using spider monkey optimization routing protocol
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Extending lifetime of heterogeneous wireless sensor networks using spider monkey optimization routing protocol
Extending lifetime of heterogeneous wireless sensor networks using spider monkey optimization routing protocol
Subject
Clustering partition, HWSNs, Network lifetime, Routing, Spider monkey optimization
Description
The nodes of wireless sensor networks (WSN) are severely restricted in
terms of computing capabilities, limited communications, and limited power supplies, as it is difficult or impossible to replace or recharge the sensor battery. Consequently, the energy of nodes is one of the most important resources to consider when designing of WSNs. So, most of the routing protocols in WSNs are to assure the saving of energy as a significant aim for improvement. Nevertheless, just providing power is not sufficient to extend the lifetime of WSN. Where unbalance energy depletion in WSNs is a challenging issue often leading to splits the network and reduces its lifetime, also retrogression of its performance. This paper, therefore, uses a powerful routing protocol named spider monkey optimization routing protocol (SMORP) to generate an optimal data routing of the pathway for heterogeneous WSNs (HWSNs). SMORP, here, can compute the best way from a sensor to the sink through the cluster head, inside the intra-cluster, and the inter-cluster respectively. For this purpose and the organization of heterogeneous nodes, this paper uses the clustering partition. The simulation results revealed that SMORP significantly improves in terms of data latency
reduction, stabilizing depletion of energy, and maximizing the network
lifetime for HWSNs.
terms of computing capabilities, limited communications, and limited power supplies, as it is difficult or impossible to replace or recharge the sensor battery. Consequently, the energy of nodes is one of the most important resources to consider when designing of WSNs. So, most of the routing protocols in WSNs are to assure the saving of energy as a significant aim for improvement. Nevertheless, just providing power is not sufficient to extend the lifetime of WSN. Where unbalance energy depletion in WSNs is a challenging issue often leading to splits the network and reduces its lifetime, also retrogression of its performance. This paper, therefore, uses a powerful routing protocol named spider monkey optimization routing protocol (SMORP) to generate an optimal data routing of the pathway for heterogeneous WSNs (HWSNs). SMORP, here, can compute the best way from a sensor to the sink through the cluster head, inside the intra-cluster, and the inter-cluster respectively. For this purpose and the organization of heterogeneous nodes, this paper uses the clustering partition. The simulation results revealed that SMORP significantly improves in terms of data latency
reduction, stabilizing depletion of energy, and maximizing the network
lifetime for HWSNs.
Creator
Imad S. Alshawi, Zainab Ali Abbood, Asaad A. Alhijaj
Source
DOI: 10.12928/TELKOMNIKA.v20i1.20984
Publisher
Universitas Ahmad Dahlan
Date
February 2022
Contributor
Sri Wahyuni
Rights
ISSN: 1693-6930
Relation
http://journal.uad.ac.id/index.php/TELKOMNIKA
Format
PDF
Language
English
Type
Text
Coverage
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Files
Collection
Citation
Imad S. Alshawi, Zainab Ali Abbood, Asaad A. Alhijaj, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Extending lifetime of heterogeneous wireless sensor networks using spider monkey optimization routing protocol,” Repository Horizon University Indonesia, accessed November 21, 2024, https://repository.horizon.ac.id/items/show/4262.
Extending lifetime of heterogeneous wireless sensor networks using spider monkey optimization routing protocol,” Repository Horizon University Indonesia, accessed November 21, 2024, https://repository.horizon.ac.id/items/show/4262.