Coverage hole identification &amp; healing in Wireless Underground Sensor Networks

Sharma, Priyanka; Singh, Rishi Pal

doi:10.1016/j.measen.2022.100540

Cited by 5 publications

(3 citation statements)

References 32 publications

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“…While the arrangement of nodes inside each other may be enhanced, however, Figure 2a shows possibly fewer coverage hole areas without any sensors protecting them, and Figure 2b a variety of reasons. In addition to the random arrangement of nodes, faulty netw architecture [12], node replacement [13], a lack of friendliness in the surroundings, is with ROI [14], and power draining [15] all contribute to coverage hole formation. T are two categories of nodes in a WSN as a result of the arbitrary organization.…”

Section: Methodsmentioning

confidence: 99%

A Comparative Study of Coverage Hole Detection Techniques in Wireless Sensor Networks

Angelin,

Silas

2023

RAiSE-2023

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Section: Methodsmentioning

confidence: 99%

A Comparative Study of Coverage Hole Detection Techniques in Wireless Sensor Networks

Angelin,

Silas

2023

RAiSE-2023

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“…However, the situation of node positioning in irregular areas is more special, such as valleys, lakes, rivers and other regions with more complex geographic environments. The network connectivity of sensor nodes deployed in such locations will be affected by the geographical environment, resulting in coverage holes, leading to communication blind zones [28].…”

Section: Algorithmic Scheme For Anchor Node Pair Selection and Partic...mentioning

confidence: 99%

Node Localization Algorithm for Irregular Regions Based on Particle Swarm Optimization Algorithm and Reliable Anchor Node Pairs

Li,

Liu,

Zou

et al. 2024

IEEE Access

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In wireless sensor networks (WSN), node localization is a key function, and only by knowing the coordinate positions of the nodes can correct decisions be made. In certain applications, such as smart cities, environmental monitoring, or industrial automation, irregular areas can be complex and affected by environmental complexity and inhomogeneity. Coverage gaps may exist between the nodes to be located and the anchor nodes, and communication paths between the nodes may deviate significantly from the ideal straight line, resulting in a large error between the final positioning result of the algorithm and the actual position. In order to solve this problem, this paper proposes a non-ranging node localization method (RANP-PSO) for irregular regions based on PSO algorithm and anchor node pair selection. The way firstly selects anchor node pairs with higher reliability parameters for the nodes to be located by introducing the hop count constraint mechanism for distance estimation; then uses the regularized least squares method for further constraints on the estimated distances; Finally, the PSO algorithm is utilized to optimize the coordinates of the target node, so as to solve to obtain the position of the node. When the proportion of anchor nodes is 20%, the communication radius of nodes is 30m, and the distribution density of nodes is 0.008, the proposed algorithm reduces the root mean square error by approximately 11.94% compared to AEML and LRAQS algorithms, 7.26% compared to the BDMCL algorithm, and 0.69% compared to the MSVR-DV-Hop algorithm. This demonstrates the advantage of the proposed algorithm in terms of localisation accuracy.

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“…However, connectivity and the minimum transmission path during the node repair process were not considered. The authors of [19] constructed auxiliary lines to detect underground monitoring area holes by mathematical methods and used tree seeding algorithms with randomness, optimality, and spiral generation techniques to generate new nodes to repair the blind zones; however, the effectiveness of the algorithm complexity was not demonstrated in comparative experiments. Yan et al [20] proposed consideration of the mobile state of nodes as the motion of artificial fish to repair the holes.…”

Section: Related Workmentioning

confidence: 99%

DHD-MEPO: A Novel Distributed Coverage Hole Detection and Repair Method for Three-Dimensional Hybrid Wireless Sensor Networks

Gou

Guo

et al. 2023

Electronics

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A coverage hole is a problem that cannot be completely avoided in three-dimensional hybrid wireless sensor networks. It can lead to hindrances in monitoring tasks and adversely affect network performance. To address the problem of coverage holes caused by the uneven initial deployment of the network and node damage during operation, we propose a distributed hole detection and multi-objective optimization emperor penguin repair algorithm (DHD-MEPO). In the detection phase, the monitoring region is zoned as units according to the quantity of nodes and the sensing range, and static nodes use the sum-of-weights method to campaign for group nodes on their terms, determining the location of holes by calculating the coverage of each cell. In the repair phase, the set of repair nodes is determined by calculating the mobile node coverage redundancy. Based on the characteristics of complex environments, the regions of high hole levels are prioritized. Moreover, the residual energy homogeneity of nodes is considered for the design of multi-objective functions. A lens-imaging mapping learning strategy is introduced to perturb the location of repair nodes for the optimization of the emperor penguin algorithm. Experimental results illustrate that the DHD-MEPO, compared with the C-CICHH, 3D-VPCA, RA, EMSCOLER, and IERP algorithms, can balance the uniformity of the residual energy of each node while satisfying the network coverage requirements and network connectivity, which effectively improves the network coverage performance.

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Coverage hole identification & healing in Wireless Underground Sensor Networks

Cited by 5 publications

References 32 publications

A Comparative Study of Coverage Hole Detection Techniques in Wireless Sensor Networks

A Comparative Study of Coverage Hole Detection Techniques in Wireless Sensor Networks

Node Localization Algorithm for Irregular Regions Based on Particle Swarm Optimization Algorithm and Reliable Anchor Node Pairs

DHD-MEPO: A Novel Distributed Coverage Hole Detection and Repair Method for Three-Dimensional Hybrid Wireless Sensor Networks

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