A robust uncertainty-aware cluster-based deployment approach for WSNs: Coverage, connectivity, and lifespan

Senouci, Mustapha Réda; Mellouk, Abdelhamid

doi:10.1016/j.jnca.2019.102414

Cited by 35 publications

(16 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the same time, the attainment of the maximum possible coverage of the network field for a given number of sensor nodes is anticipated. For these reasons, methodologies that pursue coverage maximization in two dimensions [174,175], three dimensions [176], or in conjunction with connectivity preservation are proposed [177][178][179].…”

Section: Open Research Issuesmentioning

confidence: 99%

Energy Efficient Routing in Wireless Sensor Networks: A Comprehensive Survey

2020

View full text Add to dashboard Cite

Wireless Sensor Networks (WSNs) are among the most emerging technologies, thanks to their great capabilities and their ever growing range of applications. However, the lifetime of WSNs is extremely restricted due to the delimited energy capacity of their sensor nodes. This is why energy conservation is considered as the most important research concern for WSNs. Radio communication is the utmost energy consuming function in a WSN. Thus, energy efficient routing is necessitated to save energy and thus prolong the lifetime of WSNs. For this reason, numerous protocols for energy efficient routing in WSNs have been proposed. This article offers an analytical and up to date survey on the protocols of this kind. The classic and modern protocols presented are categorized, depending on i) how the network is structured, ii) how data are exchanged, iii) whether location information is or not used, and iv) whether Quality of Service (QoS) or multiple paths are or not supported. In each distinct category, protocols are both described and compared in terms of specific performance metrics, while their advantages and disadvantages are discussed. Finally, the study findings are discussed, concluding remarks are drawn, and open research issues are indicated.

show abstract

Section: Open Research Issuesmentioning

confidence: 99%

Energy Efficient Routing in Wireless Sensor Networks: A Comprehensive Survey

2020

View full text Add to dashboard Cite

show abstract

“…Network coverage and connectivity of the nodes in WSNs are popular topics in the literature [11–22]. The UN problem is usually addressed by methodologies that minimise the number of isolated nodes during the clustering phase.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The UN problem has received a great deal of interest in recent years. Most of the studies in the literature have analysed the UN problem under the problem of network coverage and/or network connectivity [11–22]. Some of them [11–17] propose to insert additional parameters for CH selection to increase the coverage of clusters and reduce the number of UNs.…”

Section: Introductionmentioning

confidence: 99%

DiCDU: distributed clustering with decreased uncovered nodes for WSNs

Abasıkeleş‐Turgut

2020

IET Communications

View full text Add to dashboard Cite

“…WSN may be either in structural or unstructural form. 1 In the sensing field, the sensor nodes are deployed in random manner due to the dense collection of sensor nodes present in an unstructured WSN. Thereby, the failure detection and connectivity management becomes uneasy with this WSN.…”

Section: Introductionmentioning

confidence: 99%

“…In current trend, the wireless sensor networks (WSNs) have shown considerable progression in the research community. WSN may be either in structural or unstructural form 1 . In the sensing field, the sensor nodes are deployed in random manner due to the dense collection of sensor nodes present in an unstructured WSN.…”

Section: Introductionmentioning

confidence: 99%

Optimization for connectivity and coverage issue in target‐based wireless sensor networks using an effective multiobjective hybrid tunicate and salp swarm optimizer

Chelliah¹,

Kader²

2020

Int J Communication

View full text Add to dashboard Cite

Summary The two main important issues in designing target‐based wireless sensor networks (WSNs) are coverage and connectivity maximization. In order to tackle the coverage and connectivity problems, we have proposed a hybrid optimization‐based model. Thereby, the target‐based WSNs can include the sensor nodes which are placed based on determining minimum number of selected potential positions. To do that, an optimization approach based on a hybrid tunicate swarm optimizer (TSO) and salp swarm optimizer (SSO) is proposed for coverage and connectivity problems in WSNs. Feature exploitation ability of SSO is improved by TSO operators, because these operators can act as local search operators. Basically, these hybrid algorithm operators are used to derive the fitness function followed with the solution representation step. Initially, the population is generated, and the hybrid tunicate swarm optimizer and salp swarm optimizer (HTSS) algorithm has updated the solutions in the next subsequent step. Ultimately, the nondominated solutions are determined in the final step. The two different scenarios of WSN are used for simulation of this scheme. Simulations have shown its outstanding performance in solving the coverage and connectivity problems in wireless networks.

show abstract

A robust uncertainty-aware cluster-based deployment approach for WSNs: Coverage, connectivity, and lifespan

Cited by 35 publications

References 14 publications

Energy Efficient Routing in Wireless Sensor Networks: A Comprehensive Survey

Energy Efficient Routing in Wireless Sensor Networks: A Comprehensive Survey

DiCDU: distributed clustering with decreased uncovered nodes for WSNs

Optimization for connectivity and coverage issue in target‐based wireless sensor networks using an effective multiobjective hybrid tunicate and salp swarm optimizer

Contact Info

Product

Resources

About