A suggested angles-based sensors deployment algorithm to develop the coverages in WSN

Hasson, Saad Talib; Finjan, Abd Alnasir Riyadh

doi:10.1109/icisc.2018.8398860

Cited by 7 publications

(4 citation statements)

References 7 publications

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“…S.T. Hasson [7] utilized the angle between two adjacent nodes to assign an optimal deployment scheme. Now researchers are not only pursuing high coverage rate, but also tend to consider redeployment problem from the perspective of energy consumption.…”

Section: Related Workmentioning

confidence: 99%

WSN Coverage Optimization Based on Two-Stage PSO

Fan

et al. 2021

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wireless Sensor Networks (WSN) coverage perception is an important basis for communication between the cyber world and the physical world in Cyber-Physical Systems (CPS). To address the coverage redundancy, hole caused by initial random deployment and the energy constraint in redeployment, this paper proposes a multi-objective two-stage particle swarm optimization algorithm (MTPSO) based on coverage rate and moving distance deviation to improve coverage efficiency. This algorithm establishes a multi-objective optimization model for above problems, and determines the candidate deployment scheme by reducing its local convergence probability through improved inertia weight, and then introduces virtual force mechanism to adjust the relative position between nodes. This paper mainly analyzes the influence of different initial deployment category and mobile nodes proportion on multi-objective optimization performance, and gives the corresponding algorithm implement. Simulation experiments show that compared with MVFA, SPSO and OPSO algorithms, MTPSO algorithm has a better redeployment coverage performance, which fully demonstrates its effectiveness.

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Section: Related Workmentioning

confidence: 99%

WSN Coverage Optimization Based on Two-Stage PSO

Fan

et al. 2021

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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“…Nodes move to their final best position to maintain network connectivity. A deployment technique (ABSDC) is suggested in [24] to enhance coverage, connectivity, and reliability. The idea is to use the angle between sensor nodes and their neighbors.…”

Section: Related Workmentioning

confidence: 99%

“…Consequently, they might not behave well in networks where devices are energy-constrained. Although ABSDC [24] presents an efficient algorithm and requires low energy consumption. However, authors adopted the triangular circular packing idea.…”

Section: Motivationmentioning

confidence: 99%

MCCM: An Approach for Connectivity and Coverage Maximization

Ghaddar¹,

Hatoum²,

Fadlallah³

et al. 2020

Future Internet

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The internet of Things (IoT) has attracted significant attention in many applications in both academic and industrial areas. In IoT, each object can have the capabilities of sensing, identifying, networking and processing to communicate with ubiquitous objects and services. Often this paradigm (IoT) using Wireless Sensor Networks must cover large area of interest (AoI) with huge number of devices. As these devices might be battery powered and randomly deployed, their long-term availability and connectivity for area coverage is very important, in particular in harsh environments. Moreover, a poor distribution of devices may lead to coverage holes and degradation to the quality of service. In this paper, we propose an approach for self-organization and coverage maximization. We present a distributed algorithm for “Maintaining Connectivity and Coverage Maximization” called M C C M . The algorithm operates on different movable devices in homogeneous and heterogeneous distribution. It does not require high computational complexity. The main goal is to keep the movement of devices as minimal as possible to save energy. Another goal is to reduce the overlapping areas covered by different devices to increase the coverage while maintaining connectivity. Simulation results show that the proposed algorithm can achieve higher coverage and lower nodes’ movement over existing algorithms in the state of the art.

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“…Quite a few organizations worldwide have either implemented or have the intention to implement systems of cloud ERP. In Panorama report, a consulting company specializing in ERP systems, the cloud ERP market share increased from 11% to 27% just in one year only, from 2015 to 2016 [47], [48]. The organization can implement new ERP systems in an extremely short period of time if they use cloud services models [49].…”

Section: Cloud Erpmentioning

confidence: 99%

Cloud ERP in Malaysia: Benefits, Challenges, and Opportunities

2020

IJATCSE

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Cloud ERP systems are the recent trend of ERP systems and Cloud ERP is experiencing tremendous growth as well as it is considered as an alternative to local ERP systems due to its benefits associated with the deployment of cloud ERP compared to traditional ERP and the other characteristics that cloud computing technology bring it, cloud ERP does not require much prior investment and can be deployed immediately. Cloud ERP systems provide several advantages for small and medium businesses (SMEs). However, the adoption rate of this system in SMEs is below expectations. Because of the lack of success stories, companies do not have enough confidence, so they are reluctant to embrace cloud computing. before making the decision that whether to adopt cloud technology or not, SMEs prefer waiting in order to see and monitor and hear other companies' feedback on cloud ERP adoption. This paper highlights cloud ERP and its benefits, challenges, and opportunities. This paper will be useful to potential cloud ERP adopters and decision-makers in SMEs as well as service providers.

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A suggested angles-based sensors deployment algorithm to develop the coverages in WSN

Cited by 7 publications

References 7 publications

WSN Coverage Optimization Based on Two-Stage PSO

WSN Coverage Optimization Based on Two-Stage PSO

MCCM: An Approach for Connectivity and Coverage Maximization

Cloud ERP in Malaysia: Benefits, Challenges, and Opportunities

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