Title
Identifying nearest neighbor nodes and connectivity in three-dimensional wireless sensor networks using Poisson point field
Abstract
Some problems about the connectivity of wireless sensor networks (WSNs) are always important and difficult topics in research, especially the trade-off between connectivity and energy control. In this paper, we present a novel and effective method to calculate nearest neighbor nodes in three-dimensional WSNs using Poisson point field theory, which enables each node to find the kth nearest neighbor node and adjust transmitting range according to local requirement. Moreover, we derive the probability expression of the k-connected network. Finally, we give corresponding simulation results and discussions about the practical value for node energy control and design of WSNs.
Year
DOI
Venue
2010
10.1007/978-3-642-15672-4_18
NPC
Keywords
Field
DocType
node energy control,k-connected network,three-dimensional wireless,corresponding simulation result,neighbor node,effective method,difficult topic,sensor network,energy control,three-dimensional wsns,nearest neighbor node,poisson point field theory,field theory,three dimensional,wireless sensor network,nearest neighbor
k-nearest neighbors algorithm,Key distribution in wireless sensor networks,Effective method,Computer science,Computer network,Nearest neighbor graph,Energy control,Poisson distribution,Wireless sensor network,Distributed computing
Conference
Volume
ISSN
ISBN
6289
0302-9743
3-642-15671-1
Citations 
PageRank 
References 
3
0.40
7
Authors
3
Name
Order
Citations
PageRank
Yanhuai Qu170.90
Jian-an Fang252923.40
Shuai Zhang33711.44