Open AccessMultiplicatively weighted Voronoi-based sensor collaborative redeployment in software-defined wireless sensor networks
Author(s) -
Minghua Wang,
Ran Ou,
Yan Wang
Publication year - 2022
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1177/15501477211069903
Subject(s) - voronoi diagram , wireless sensor network , computer science , software deployment , key distribution in wireless sensor networks , cluster analysis , software , mobile wireless sensor network , wireless , distributed computing , wireless network , data mining , computer network , real time computing , machine learning , telecommunications , geometry , mathematics , programming language , operating system
Large-scale deployment of mobile wireless sensor networks has been widely used in some dangerous and hostile urban security surveillance scenarios. As a new network architecture, software-defined networks was introduced into wireless sensor networks to form a new software-defined wireless sensor networks to solve the problem of balanced large-scale deployment of sensor networks and simplify the complexity of network management. In this article, we first develop an original confident information coverage–based multiplicatively weighted Voronoi diagram through sensor clustering and sensor collaborative sensing. And then, we propose two sensor collaborative redeployment algorithms based on the novel confident information coverage–based multiplicatively weighted Voronoi diagram and software-defined wireless sensor networks architecture to provide high-confidence coverage and improve the coverage ratio. Finally, we demonstrate the superiority of the confident information coverage–based multiplicatively weighted Voronoi diagram and the effectiveness and efficiency of our proposed algorithms via a series of experiments.