Title
Localized and Precise Boundary Detection in 3-D Wireless Sensor Networks
Abstract
This research focuses on distributed and localized algorithms for precise boundary detection in 3-D wireless networks. Our objectives are twofold. First, we aim to identify the nodes on the boundaries of a 3-D network, which serve as a key attribute that characterizes the network, especially in such geographic exploration tasks as terrain and underwater reconnaissance. Second, we construct locally planarized 2-manifold surfaces for inner and outer boundaries in order to enable available graph theory tools to be applied on 3-D surfaces, such as embedding, localization, partition, and greedy routing among many others. To achieve the first objective, we propose a Unit Ball Fitting (UBF) algorithm that discovers a majority of boundary nodes, followed by a refinement algorithm, named Isolated Fragment Filtering (IFF), to remove isolated nodes that are misinterpreted as boundary nodes. Based on the identified boundary nodes, we develop an algorithm that constructs a locally planarized triangular mesh surface for each 3-D boundary. Our proposed scheme is localized, requiring information within 1-hop neighborhood only. We further extend the schemes for online boundary detection in mobile sensor networks aiming to achieve low overhead. Our simulation and experimental results demonstrate that the proposed algorithms can effectively identify boundary nodes and surfaces, even under high measurement errors.
Year
DOI
Venue
2015
10.1109/TNET.2014.2344663
Networking, IEEE/ACM Transactions  
Keywords
Field
DocType
Wireless sensor networks,Wireless networks,Heuristic algorithms,Complexity theory,IEEE transactions,Distance measurement,Surface fitting
Graph theory,Key distribution in wireless sensor networks,Wireless network,Embedding,Computer science,Computer network,Mobile wireless sensor network,Wireless mesh network,Wireless sensor network,Triangle mesh,Distributed computing
Journal
Volume
Issue
ISSN
PP
99
1063-6692
Citations 
PageRank 
References 
7
0.52
29
Authors
4
Name
Order
Citations
PageRank
Hongyu Zhou170.52
Xia, S.270.52
Miao Jin365035.98
Hongyi Wu484876.90