Three‐dimensional sensor network connectivity considering border effects and channel randomness with application to underwater networks

Mridula, K. M.; Ameer, P. M.

doi:10.1049/iet-com.2017.0952

Cited by 7 publications

(2 citation statements)

References 41 publications

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“…The 3 − D underwater environment hydrophone deployment problem is a leading issue in sensor deployment research [17]. Although many scholars have developed high-coverage and low-complexity solutions, many algorithms are theoretical because they are based on an ideal environment; the practicality of these algorithms in complex underwater terrain environments remains to be confirmed [21].…”

Section: − D Sensor Space Coverage Problemmentioning

confidence: 99%

Sensor Coverage Strategy in Underwater Wireless Sensor Networks

Du²

2020

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

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This paper mainly describes studies hydrophone placement strategy in a complex underwater environment model to compute a set of "good" locations where data sampling will be most effective. Throughout this paper it is assumed that a 3-D underwater topographic map of a workspace is given as input.Since the negative gradient direction is the fastest descent direction, we fit a complex underwater terrain to a differentiable function and find the minimum value of the function to determine the low-lying area of the underwater terrain.The hydrophone placement strategy relies on gradient direction algorithm that solves a problem of maximize underwater coverage: Find the maximize coverage set of hydrophone inside a 3-D workspace. After finding the maximize underwater coverage set, to better take into account the optimal solution to the problem of data sampling, the finite VC-dimension algorithm computes a set of hydrophone that satisfies hydroacoustic signal energy loss constraints. We use the principle of the maximize splitting subset of the coverage set and the ”dual” set of the coverage covering set, so as to find the hitting set, and finally find the suboptimal set (i.e., the sensor suboptimal coverage set).Compared with the random deployment algorithm, although the computed set of hydrophone is not guaranteed to have minimum size, the algorithm does compute with high network coverage quality.

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Section: − D Sensor Space Coverage Problemmentioning

confidence: 99%

Sensor Coverage Strategy in Underwater Wireless Sensor Networks

Du²

2020

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

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“…Recent years have seen a lot of research attention in underwater acoustic sensor networks [1–5]. In underwater networks, the acoustic medium presents many challenges due to its variable sound velocity [6–9].…”

Section: Introductionmentioning

confidence: 99%