Two-tier particle swarm optimization protocol for clustering and routing in wireless sensor network

Elhabyan, Riham S.; Yagoub, M.C.E.

doi:10.1016/j.jnca.2015.02.004

Cited by 154 publications

(88 citation statements)

References 38 publications

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“…The results show that QEA is an effective and efficient protocol for WSNs. To maximize the energy, network coverage and transmission reliability, Elhabyan and Yagoubhave developed a PSO based clustering protocol for WSNs [27]. The results confirm the existence of the protocol in terms packet delivery rate and scalability.…”

Section: Related Workmentioning

confidence: 72%

A Teaching Learning Based Optimization Algorithm for Cluster Head Selection in Wireless Sensor Networks

Yadav¹,

Kumar

2017

IJFGCN

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Section: Related Workmentioning

confidence: 72%

A Teaching Learning Based Optimization Algorithm for Cluster Head Selection in Wireless Sensor Networks

Yadav¹,

Kumar

2017

IJFGCN

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“…Although recent efforts have been made to develop clustering protocols under realistic energy consumption models such as [70] [71] [72], further enhancement on energy-efficiency may be obtained if these solutions have adopted a sleep-scheduling mechanism before or after the clustering process. Furthermore, to enhance the network's energy efficiency, integrated solutions that are based on realistic energy as well as sensing models to address coverage problems using clustering approaches should be investigated.…”

Section: B Realistic Coverage-aware Clustering Protocolsmentioning

confidence: 99%

Coverage protocols for wireless sensor networks: Review and future directions

2019

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The coverage problem in wireless sensor networks (WSNs) can be generally defined as a measure of how effectively a network field is monitored by its sensor nodes. This problem has attracted a lot of interest over the years and as a result, many coverage protocols were proposed. In this survey, we first propose a taxonomy for classifying coverage protocols in WSNs. Then, we classify the coverage protocols into three categories (i.e. coverageaware deployment protocols, sleep scheduling protocols for flat networks, and cluster-based sleep scheduling protocols) based on the network stage where the coverage is optimized. For each category, relevant protocols are thoroughly reviewed and classified based on the adopted coverage techniques. Finally, we discuss open issues (and recommend future directions to resolve them) associated with the design of realistic coverage protocols. Issues such as realistic sensing models, realistic energy consumption models, realistic connectivity models and sensor localization are covered.

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“…The experimental results demonstrated that PASCCC achieved better performance when it comes to the network lifetime, energy consumption, data transmission, and other QoS metrics in contrast to existing approaches. Elhabyan, Riham SY, and Mustapha CE Yagoub [15] presented two Linear Programming (LP) formulations to the issues of clustering and routing followed closely by two proposed algorithms for exactly the same centered on Particle Swarm Optimization (PSO). The clustering algorithm finds the perfect group of CHs that maximize the energy efficiency, cluster quality and network coverage.…”

Section: Pasccc: Priority-based Application-specific Congestion Contrmentioning

confidence: 99%

A Study of Congestion Control Protocols for Wireless Sensor Networks

Singh¹,

Singh²

2015

IJCA

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Within the last couple of years a comparatively large amount of clustering routing protocols have already been developed for WSNs. This paper is an effort to comprehensively review and critically discuss the absolute most prominent clustering routing algorithms which have been developed for WSNs. The goals with this survey are to produce a large audience conscious of the existence and of the usually good performance of numerous clustering routing protocols in WSNs. From the survey, it has been discovered that none of technique performs effectively in most fields. Therefore the paper ends with the future scope to overcome these issues.

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Two-tier particle swarm optimization protocol for clustering and routing in wireless sensor network

Cited by 154 publications

References 38 publications

A Teaching Learning Based Optimization Algorithm for Cluster Head Selection in Wireless Sensor Networks

A Teaching Learning Based Optimization Algorithm for Cluster Head Selection in Wireless Sensor Networks

Coverage protocols for wireless sensor networks: Review and future directions

A Study of Congestion Control Protocols for Wireless Sensor Networks

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