A Survey on Coverage Problems in Wireless Sensor Network Based on Monitored Region

Das, Smita; Debbarma, Mrinal Kanti

doi:10.1007/978-981-13-0277-0_29

Cited by 17 publications

(10 citation statements)

References 20 publications

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“…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

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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.

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Section: Open Research Issuesmentioning

confidence: 99%

Energy Efficient Routing in Wireless Sensor Networks: A Comprehensive Survey

2020

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“…All these experiments were coded in JAVA and executed over an Intel(R) i7-8650U processor with 16GB of RAM. Note that the experimental set up and the parameters used in our study are chosen in such a way that they are representative and are in line with those used in the literature (see for example [4], [5] and [6]).…”

Section: (1)mentioning

confidence: 99%

Lifetime optimization for partial coverage in heterogeneous sensor networks

Charr¹,

Deschinkel²,

Mansour³

et al. 2020

Ad Hoc Networks

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“…Liu and Zhao, (2019) proposes the sensor node deployment using DABVF for the purpose of having reliable network coverage and reduced energy consumption in the network that is usually increased due to the mobility of the nodes. Das and MrinalKantiDebbarma, (2019) presens the study on the WSN coverage for the monitored area using the literatures on the WSN coverage. Farsi et al , (2019) presents the study on the coverage and the connectivity issues in wireless sensor network along with the advantages, disadvantages and the performance metrics that must be considered for the wireless sensor networks.…”

Section: Related Workmentioning

confidence: 99%

“…The sensor nodes are built with the devices for sensing, processing and communicating with the help of the battery that is on board. As the fundamental duty of a sensor node is efficient monitoring, it is used in a wide variety of applications such as environment changes to species recovery, daily observation to home automation, management of waste to industrial production and medical research to military applications (Das and MrinalKantiDebbarma, 2019). They are scattered among different applications for the tracking of the vital changes and processing them to transmit to the target location.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of ant-lion optimization based routing algorithm for wireless sensor networks

Swapna¹,

Santhosh

2020

IJIUS

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PurposeThe miniscule wireless sensor nodes, engaged in the wide range of applications for its capability of monitoring the physical changes around, requires an improved routing strategy with the befitting sensor node arrangement that plays a vital part in ensuring a completeness of the network coverage.Design/methodology/approachThis paves way for the reduced energy consumption, the enhanced network connections and network longevity. The conventional methods and the evolutionary algorithms developed for arranging of the node ended with the less effectiveness and early convergence with the local optimum respectively.FindingsThe paper puts forward the befitting arrangement of the sensor nodes, cluster-head selection and the delayless routing using the ant lion (A-L) optimizer to achieve the substantial coverage, connection, the network-longevity and minimized energy consumption.Originality/valueThe further performance analysis of the proposed system is carried out with the simulation using the network simulator-2 and compared with the genetic algorithm and the particle swarm optimization algorithm to substantiate the competence of the proposed routing method using the ant lion optimization.

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A Survey on Coverage Problems in Wireless Sensor Network Based on Monitored Region

Cited by 17 publications

References 20 publications

Energy Efficient Routing in Wireless Sensor Networks: A Comprehensive Survey

Energy Efficient Routing in Wireless Sensor Networks: A Comprehensive Survey

Lifetime optimization for partial coverage in heterogeneous sensor networks

Performance analysis of ant-lion optimization based routing algorithm for wireless sensor networks

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