BLOW-UP

Author:

Wang Chen1,Wei Wei1,Lin Hongzhi1,Jiang Hongbo1,Lui John C. S.2

Affiliation:

1. Huazhong University of Science and Technology, P. R. China

2. Chinese University of Hong Kong, Hong Kong

Abstract

In wireless sensor networks (WSNs), a space filling curve (SFC) refers to a path passing through all nodes in the network, with each node visited at least once. By enforcing a linear order of the sensor nodes through an SFC, many applications in WSNs concerning serial operations on both sensor nodes and sensor data can be performed, with examples including serial data fusion and path planning of mobile nodes. Although a few studies have made efforts to find such SFCs in WSNs, they primarily target 2D planar or 3D surface settings and cannot be directly applied to 3D volumetric WSNs due to considerably more complex geometric features and topology shapes that the 3D volumetric settings introduce. This article presents BLOW-UP, a distributed, scalable, and connectivity-based algorithm to construct an SFC for a 3D volumetric WSN (or alternatively to linearize the 3D volumetric network). The main idea of BLOW-UP is to decompose the given 3D volumetric network into a series of connected and closed layers, and the nodes are traversed layer by layer, incrementally from the innermost to the outermost, yielding an SFC covering the entire network, provably at least once and at most a constant number of times. To the best of our knowledge, BLOW-UP is the first algorithm that realizes linearization in 3D volumetric WSNs. It does not require advance knowledge of location or distance information. It is also scalable with a nearly constant per-node storage cost and message cost. Extensive simulations under various networks demonstrate its effectiveness on nodes’ covered times, coverage rate, and covering speed.

Funder

National Natural Science Foundation of China

National High Technology Research and Development Program (“863” Program) of China

National Natural Science Foundation of Hubei Province

Science and Technology Plan Projects of Wuhan City

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. RF-AMOC;ACM Transactions on Sensor Networks;2020-11-30

2. A Method of HBase Multi-Conditional Query for Ubiquitous Sensing Applications;Sensors;2018-09-12

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