Distributed Deployment Algorithms for Improved Coverage in a Network of Wireless Mobile Sensors

Mahboubi, Hamid; Moezzi, Kaveh; Aghdam, Amir G.; Sayrafian-Pour, Kamran; Marbukh, Vladimir

doi:10.1109/tii.2013.2280095

Cited by 100 publications

(61 citation statements)

References 35 publications

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“…Assuming that each sensor's location is known, then θ (1,2,3) , S ∆s 1 s 2 s 3 and the sector area S θ i can be calculated as follow:…”

Section: Estimation Of Coverage Holesmentioning

confidence: 99%

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Estimation and Healing of Coverage Hole in Hybrid Sensor Networks: A Simulation Approach

Zhang

et al. 2017

Sustainability

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Nowadays, wireless sensor network which consists of numerous tiny sensors has been widely used. One of the major challenges in such networks is how to cover the sensing area effectively and maintain longer network lifetime with limited energy simultaneously. In this paper, we study hybrid sensor network which contains both static and mobile sensors. We divide monitoring area into Delaunay Triangulation (DT) by using of Delaunay theory, estimate static sensors coverage holes, calculate the number of assistant mobile sensors and then work out the positions of assisted mobile nodes in each triangle. Next, mobile sensors will move to heal the coverage holes. Compared with the similarity methods, the algorithm HCHA we proposed is simpler, the advantages of our algorithm mainly represents in the following aspects. Firstly, it is relatively simple to estimate coverage hole based on Delaunay in our proposed algorithm. Secondly, we figure out the quantitative number range of assisted sensors those need to heal the coverage holes. Thirdly, we come up with a kind of deployment rule of assisted sensors.

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“…Assuming that each sensor's location is known, then θ (1,2,3) , S ∆s 1 s 2 s 3 and the sector area S θ i can be calculated as follow:…”

Section: Estimation Of Coverage Holesmentioning

confidence: 99%

“…Currently, numerous researchers have focused on the coverage problem and the classic papers including [2][3][4][5][6]. The main methods of increasing coverage include figuring out the coverage holes, healing the holes, and using adjustable radii to enlarge coverage.…”

Section: Introductionmentioning

confidence: 99%

Estimation and Healing of Coverage Hole in Hybrid Sensor Networks: A Simulation Approach

Zhang

et al. 2017

Sustainability

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“…In [42], a convex area covered by sensors is maximized by minimizing the area uncovered in the agents' cell. Even though the algorithms have certain distributed properties, they are not, in general, implementable over a limited-range communication graph.…”

Section: Multi-agent Coverage and Spatial Load Balancingmentioning

confidence: 99%

Sampling-Based Motion Planning Algorithms for Replanning and Spatial Load Balancing

Boardman¹

2017

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“…4 show that using this method for big data classification can realize data fusion scheduling and the operation and maintenance management, and can effectively realize the classification and recognition of big data, and improves the adaptive analysis and processing ability of big data of distributed marine green energy resources grid-connected system. In order to quantitatively analyze the application performance of the proposed method for big data classification processing, Table 1 lists the performance comparison of distributed marine green energy resources grid-connected system big data analysis in different methods [27][28][29][30]. From the analysis, the proposed method classifies distributed marine green energy resources grid-connected system big data, which reduces the misclassification rate, and shortens the time of analysis processing of big data, and improves the ability of parallel scheduling of big data, and ameliorates the output performance of the grid-connected system [31,32].…”

Section: Self Correlation Features Mining Of Big Data Operation and Mmentioning

confidence: 99%

Big Data Analysis and Simulation of Distributed Marine Green Energy Resources Grid-Connected System

Tian

Huang

2017

Polish Maritime Research

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In order to improve the working stability of distributed marine green energy resources grid-connected system, we need the big data information mining and fusion processing of grid-connected system and the information integration and recognition of distributed marine green energy grid-connected system based on big data analysis method, and improve the output performance of energy grid-connected system. This paper proposed a big data analysis method of distributed marine green energy resources grid-connected system based on closed-loop information fusion and auto correlation characteristic information mining. This method realized the big data closed-loop operation and maintenance management of grid-connected system, and built the big data information collection model of marine green energy resources grid-connected system, and reconstructs the feature space of the collected big data, and constructed the characteristic equation of fuzzy data closed-loop operation and maintenance management in convex spaces, and used the adaptive feature fusion method to achieve the auto correlation characteristics mining of big data operation and maintenance information, and improved the ability of information scheduling and information mining of distributed marine green energy resources grid-connected system. Simulation results show that using this method for the big data analysis of distributed marine green energy resources grid-connected system and using the multidimensional analysis technology of big data can improve the ability of information scheduling and information mining of distributed marine green energy resources grid-connected system, realizing the information optimization scheduling of grid-connected system. The output performance of grid connected system has been improved.

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Distributed Deployment Algorithms for Improved Coverage in a Network of Wireless Mobile Sensors

Cited by 100 publications

References 35 publications

Estimation and Healing of Coverage Hole in Hybrid Sensor Networks: A Simulation Approach

Estimation and Healing of Coverage Hole in Hybrid Sensor Networks: A Simulation Approach

Sampling-Based Motion Planning Algorithms for Replanning and Spatial Load Balancing

Big Data Analysis and Simulation of Distributed Marine Green Energy Resources Grid-Connected System

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