An Efficient Deployment Model for Maximizing Coverage of Heterogeneous Wireless Sensor Network Based on Harmony Search Algorithm

Al-Fuhaidi, Belal; Mohsen, Abdulqader M.; Ghazi, Abdulkhabeer; Yousef, Walid M.

doi:10.1155/2020/8818826

Cited by 20 publications

(13 citation statements)

References 49 publications

(55 reference statements)

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“…Hari and Singh 148 and Bangash et al 149 suggested opting better solutions required for addressing the security, privacy, power, computational capabilities, and scalability, availability of the data, integrity, and authentication of data in the WSN system. Deployment issues Harmony search‐based deployment algorithm is being opted by Al‐Fuhaidi et al 150 for increasing the overall coverage of the heterogeneous sensor network applications. They compared performance with genetic based deployment is achieved using the meta‐heuristic algorithm.…”

Section: Open Issues and Challengesmentioning

confidence: 99%

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Survey on energy efficient dynamic sink optimum routing for wireless sensor network and communication technologies

Gupta

Singh

2022

Int J Communication

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Wireless sensor network (WSN) is frequently being used for increasing the data collection and monitoring critical parameters. Major challenge in WSN design is achieving the better energy efficiency and latency considering the dynamic sink location. Lots of research has been done for improving the performance of WSN systems in wide range of applications. Prime goal of this paper is to evaluate the performance of WSN routing under the grid-based dynamic sink locations. Later the performance of various existing critical protocols is compared to route data over centralized server. Various applications of WSNs are tabulated along with the sensor utilization. The paper contributed in three passes. Initial contribution of this research is to identify the issues and limitations of present WSN communication technologies. The paper contributed to present a case study to discover the implications of dynamic sink routing for building protocol to extend network's lifetime. The effectiveness of several clustering-based WSN routing algorithms is first compared in this paper. After that, the protocol with the longest network life is put to the test under a grid-based dynamic sink routing scenario. The significance of clustering-based protocols for improving lifetime of the network is evaluated as case study. The clustering-based energy efficient protocol like low energy adaptive clustering hierarchy (LEACH) and its different variants, PEGASIS, SEP, DEC, their variants, and so on, are compared in this paper. Various performance metrics like network delays, throughput, latency, energy consumption and network lifetime are defined for studying routing protocols. Significance of dynamic sink locations performance is evaluated for Enhanced Distributed Energy Efficient Clustering (EDEEC) protocol. Overall paper covers and reviewed many critical design aspects for WSN networks.

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Section: Open Issues and Challengesmentioning

confidence: 99%

“…f. Deployment issues Harmony search-based deployment algorithm is being opted by Al-Fuhaidi et al 150 for increasing the overall coverage of the heterogeneous sensor network applications. They compared performance with genetic based deployment is achieved using the meta-heuristic algorithm.…”

Section: Modified Distance Measures Techniquesmentioning

confidence: 99%

Survey on energy efficient dynamic sink optimum routing for wireless sensor network and communication technologies

Gupta

Singh

2022

Int J Communication

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“…PSM is used to solve the overlapping problem between nodes. The proposed model is evaluated through multiple simulation scenarios, using MATLAB, by analyzing the coverage ratio and cost and comparing the obtained results with those from the scenarios that used a homogenous model and meta-heuristic algorithm, such as the genetic algorithm [ 39 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Deployment Optimization Algorithms in Wireless Sensor Networks for Smart Cities: A Systematic Mapping Study

Abdulwahid

Mishra

2022

Sensors

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In recent years, different types of monitoring systems have been designed for various applications, in order to turn the urban environments into smart cities. Most of these systems consist of wireless sensor networks (WSN)s, and the designing of these systems has faced many problems. The first and most important problem is sensor node deployment. The main function of WSNs is to gather the required information, process it, and send it to remote places. A large number of sensor nodes were deployed in the monitored area, so finding the best deployment algorithm that achieves maximum coverage and connectivity with the minimum number of sensor nodes is the significant point of the research. This paper provides a systematic mapping study that includes the latest recent studies, which are focused on solving the deployment problem using optimization algorithms, especially heuristic and meta-heuristic algorithms in the period (2015–2022). It was found that 35% of these studies updated the swarm optimization algorithms to solve the deployment problem. This paper will be helpful for the practitioners and researchers, in order to work out new algorithms and seek objectives for the sensor deployment. A comparison table is provided, and the basic concepts of a smart city and WSNs are presented. Finally, an overview of the challenges and open issues are illustrated.

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“…It simply shows that keeping redundant nodes off, one can increase the life span of the network. In [31], a scheme has been proposed of how controlled overlapping can be introduced to save energy in greater interest of the network.…”

Section: Related Workmentioning

confidence: 99%

Grouping and Sponsoring Centric Green Coverage Model for Internet of Things

Kumar

AlShboul

et al. 2021

Sensors

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Recently, green computing has received significant attention for Internet of Things (IoT) environments due to the growing computing demands under tiny sensor enabled smart services. The related literature on green computing majorly focuses on a cover set approach that works efficiently for target coverage, but it is not applicable in case of area coverage. In this paper, we present a new variant of a cover set approach called a grouping and sponsoring aware IoT framework (GS-IoT) that is suitable for area coverage. We achieve non-overlapping coverage for an entire sensing region employing sectorial sensing. Non-overlapping coverage not only guarantees a sufficiently good coverage in case of large number of sensors deployed randomly, but also maximizes the life span of the whole network with appropriate scheduling of sensors. A deployment model for distribution of sensors is developed to ensure a minimum threshold density of sensors in the sensing region. In particular, a fast converging grouping (FCG) algorithm is developed to group sensors in order to ensure minimal overlapping. A sponsoring aware sectorial coverage (SSC) algorithm is developed to set off redundant sensors and to balance the overall network energy consumption. GS-IoT framework effectively combines both the algorithms for smart services. The simulation experimental results attest to the benefit of the proposed framework as compared to the state-of-the-art techniques in terms of various metrics for smart IoT environments including rate of overlapping, response time, coverage, active sensors, and life span of the overall network.

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An Efficient Deployment Model for Maximizing Coverage of Heterogeneous Wireless Sensor Network Based on Harmony Search Algorithm

Cited by 20 publications

References 49 publications

Survey on energy efficient dynamic sink optimum routing for wireless sensor network and communication technologies

Survey on energy efficient dynamic sink optimum routing for wireless sensor network and communication technologies

Deployment Optimization Algorithms in Wireless Sensor Networks for Smart Cities: A Systematic Mapping Study

Grouping and Sponsoring Centric Green Coverage Model for Internet of Things

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