An Agent-Based Solution to Energy Sink-Hole Problem in Flat Wireless Sensor Networks

Yadav, Mamta; Sethi, Preeti; Juneja, Dimple; Chauhan, Naresh

doi:10.1007/978-981-10-6005-2_27

Cited by 6 publications

(5 citation statements)

References 14 publications

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“…In this context, load balancing routing is applied according to two modes. In the first mode, adopted by some single‐path routing protocols, the selection of the next hop for a packet takes into account the residual energies of neighboring SNs 29–34 . In this way, the routing paths change according to the evolution of the residual energies of the SNs, which constitutes a simple load balancing solution.…”

Section: Overview On Load Balancing In Wsnmentioning

confidence: 99%

“…In the first mode, adopted by some single-path routing protocols, the selection of the next hop for a packet takes into account the residual energies of neighboring SNs. [29][30][31][32][33][34] In this way, the routing paths change according to the evolution of the residual energies of the SNs, which constitutes a simple load balancing solution. Some approaches adopting this load balancing mode are cited in References 35-37.…”

Section: Overview On Load Balancing In Wsnmentioning

confidence: 99%

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Load balancing approach for heterogeneous 2‐tiered wireless sensor networks

Zafer

Senouci

Aissani

2020

Trans Emerging Tel Tech

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This article addresses the problem of managing power consumption in a heterogeneous Wireless Sensor Network (WSN), composed of Sensor Nodes (SNs), Relay Nodes (RNs), and a Collector Node (CN). The aim is to extend the lifetime of RNs that actively participate in data routing. The proposed approach consists in creating, from the dense initial topology, several 2‐tiered subtopologies, linking the SNs to the CN, without having common RNs. The simultaneous exploitation of these subtopologies in the data routing from the SNs to the CN constitutes a load balancing solution for the considered WSN. Obtained simulation results demonstrate the effectiveness of the proposed approach in extending the lifetime of the RNs.

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Section: Overview On Load Balancing In Wsnmentioning

confidence: 99%

Section: Overview On Load Balancing In Wsnmentioning

confidence: 99%

Load balancing approach for heterogeneous 2‐tiered wireless sensor networks

Zafer

Senouci

Aissani

2020

Trans Emerging Tel Tech

View full text Add to dashboard Cite

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“…The proposed ECUC scheme is specially designed for circularly-symmetric WSNs called Corona Based WSNs (CBWSN) [19]- [21], since it is easy to abstract in a view of routing optimization and the energy consumption can be easily controlled in this type of network. ECUC divides the network into coronas with an equal thickness ( Fig.1.a).…”

Section: System Modelmentioning

confidence: 99%

Energy-Efficient and Coverage-Guaranteed Unequal-Sized Clustering for Wireless Sensor Networks

et al. 2019

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In the last years, due to the limited resources of consumer products, energy-saving is known as one of the design challenges of Wireless Sensor Networks (WSNs). Clustering is a practical technique to enhance the performance of the network including energy efficiency, network scalability, and network easier management. In cluster-based networks, the size of clusters has a key role in the network power consumption. Non-optimized clustering results in increasing the power consumption of the whole network. The small size clusters leads to appear coverage hole in the network, as well as this property is the opposite of being the scalability of the network. In addition, in non-optimized clusters, reducing the energy consumption of the nodes as the key objective of clustering, cannot be pursued, thus the clustering will result contrary. Consequently, the energy consumption reduction after clustering can be guaranteed by considering the power consumption of nodes before clustering in cluster size optimization. Hence, in this paper, an Energyefficient and Coverage-guaranteed Unequal-sized Clustering (ECUC) scheme is proposed which considers both energy and coverage issues simultaneously in optimizing the cluster size. Based on the simulation results, the proposed scheme remarkably enhances the network lifetime by reducing the total dissipated energy while guarantying the coverage issue. INDEX TERMS Wireless sensor networks, clustering; cluster size, coverage hole, energy efficiency.

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“…Especially, depletion of energy is highly acute in case of nodes that are near to the sink. The authors of [32] propose a mobile agent-based solution for solving the energy sink-hole problem, aiming to extend the network life by reducing redundant data being passed to the nodes near to the sink and, thereby, reducing the load and saving battery life. The algorithm was implemented using aglets and the analytical results showed significant improvement in the network lifetime.…”

Section: An Agent-based Solution To Energy Sink-hole Problem In Flat mentioning

confidence: 99%

“…Software agents can also be used in low-level network maintenance, testing, fault diagnosis, and for dynamically upgrading the capabilities of existing services. For example, some researchers propose a mobile agent-based solution for solving energy sink-hole problems [1], due to fact that repeated and continuous transmission of data to the sink leads to energy loss in all the nodes in the case of a flat Wireless Sensor Network.…”

Section: Introductionmentioning

confidence: 99%

Framework for Supporting JavaScript-Based Mobile Agents

Silva

Grilo

Veloz

et al. 2019

Advances in Intelligent Systems and Computing

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A special thanks to Professor Nuno Costa for his dedication, guidance, motivation and valuable professional constructive suggestions during the arrangement and execution of this dissertation work. Furthermore, I am grateful for the patient guidance and judgment given by Professor Carlos Grilo and I am especially indebted with Professor Jorge Veloz for his useful critiques and advices provided during this work. All of them have actively worked to provide me with the help to pursue my goals. It has been a privilege to have their guidance in a work of this magnitude.

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An Agent-Based Solution to Energy Sink-Hole Problem in Flat Wireless Sensor Networks

Cited by 6 publications

References 14 publications

Load balancing approach for heterogeneous 2‐tiered wireless sensor networks

Load balancing approach for heterogeneous 2‐tiered wireless sensor networks

Energy-Efficient and Coverage-Guaranteed Unequal-Sized Clustering for Wireless Sensor Networks

Framework for Supporting JavaScript-Based Mobile Agents

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