An Algorithm for Hybrid Nodes Barrier Coverage Based on Voronoi in Wireless Sensor Networks

Dang, Xiaochao; MA, R; Hao, Zhanjun; Ma, Meixiu

doi:10.1007/978-981-10-6388-6_18

Cited by 4 publications

(1 citation statement)

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“…This approach uses a voronoi polygon such that all its vertices are covered by a sensor node [8]. Basically, in voronoi polygon approach, polygons are drawn where the sensing area of nodes touches each other as shown in the figure 4 and based on the edges of these polygons the coverage is determined between any two points in the coverage area [9]. In case of Delaunay Triangulation all the sensor nodes whose sensing area (Voronoi Polygons share same edge) touches each other are connected to each other as shown in the figure below.…”

Section: Figure 3: Types Of Gridsmentioning

confidence: 99%

Grid Based Approach for Efficient Routing in Wireless Sensor Networks

Sethi

2018

ijarcs

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Wireless sensor networks (WSNs) supports wide range of applications such as health and environment monitoring, imaging, tracking, and biomedical research. Hence they can be useful in a number of situations. Wireless sensor networks sense some physical scenario and propagate the sensed data to the base station with the help of intermediate nodes. Area coverage is an important issue in these networks. The objective of complete area coverage is to find out redundant nodes and deactivate them, so that the remaining active nodes can cover the deployed area. Among the various existing approaches for area coverage in WSN, a grid based approach has been proposed that provides a better way to select the active nodes or deactivate the redundant nodes from the grid rather than choosing the nodes from the deployed area. The existing approach goes with certain limitations such as how many numbers of grids need to be made in a certain deployed area with a certain number of nodes and how much percentage of nodes need to be selected from each grid. Our proposed protocol outperforms the existing grid based protocol with respect to energy saving, network lifetime and End to End delay.

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Section: Figure 3: Types Of Gridsmentioning

confidence: 99%