Directional virtual backbone based data aggregation scheme for Wireless Visual Sensor Networks

Autor: Xiao-rong Ji, Jing Zhang, Fu-min Zou, Shi-Jian Liu, Pei-Wei Tsai
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Computer science
Distributed computing
lcsh:Medicine
02 engineering and technology
0202 electrical engineering
electronic engineering
information engineering
Animal Anatomy
lcsh:Science
020203 distributed computing
Coding Mechanisms
Multidisciplinary
Data Collection
Applied Mathematics
Simulation and Modeling
Energy consumption
Tree (data structure)
Linear network coding
Physical Sciences
Engineering and Technology
Wireless Technology
Algorithms
Network Analysis
Research Article
Optimization
Computer and Information Sciences
Equipment
Geometry
Research and Analysis Methods
Computer Communication Networks
Clustering Algorithms
Wireless
Animal Physiology
Cluster analysis
Communication Equipment
Computational Neuroscience
Directional antenna
business.industry
lcsh:R
Biology and Life Sciences
Computational Biology
020206 networking & telecommunications
Signaling Networks
Data aggregator
Radii
Antennas
lcsh:Q
Antennae (Animal Physiology)
Wireless Sensor Networks
business
Wireless sensor network
Zoology
Mathematics
Neuroscience
Zdroj: PLoS ONE, Vol 13, Iss 5, p e0196705 (2018)
PLoS ONE
ISSN: 1932-6203
Popis: Data gathering is a fundamental task in Wireless Visual Sensor Networks (WVSNs). Features of directional antennas and the visual data make WVSNs more complex than the conventional Wireless Sensor Network (WSN). The virtual backbone is a technique, which is capable of constructing clusters. The version associating with the aggregation operation is also referred to as the virtual backbone tree. In most of the existing literature, the main focus is on the efficiency brought by the construction of clusters that the existing methods neglect local-balance problems in general. To fill up this gap, Directional Virtual Backbone based Data Aggregation Scheme (DVBDAS) for the WVSNs is proposed in this paper. In addition, a measurement called the energy consumption density is proposed for evaluating the adequacy of results in the cluster-based construction problems. Moreover, the directional virtual backbone construction scheme is proposed by considering the local-balanced factor. Furthermore, the associated network coding mechanism is utilized to construct DVBDAS. Finally, both the theoretical analysis of the proposed DVBDAS and the simulations are given for evaluating the performance. The experimental results prove that the proposed DVBDAS achieves higher performance in terms of both the energy preservation and the network lifetime extension than the existing methods.
Databáze: OpenAIRE
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