Paper Info
Title
Sequential Localization Algorithm for Active Sensor Network Deployment
Abstract
There has been a lot of work on localization for sensor networks. Most localization schemes assume an already deployed network. Very little research has been done for active sensor deployment with mobile robots. In this paper, we present a distributed sequential localization process which is tightly integrated with robotic sensor deployment. Being location-aware, sensors can be placed in advantageous locations to avoid big localization errors. In turn, the accurate localization result helps further sensor deployment. We compare our distributed sequential localization scheme with five existing localization algorithms, both through simulations and through repeated runs on a mote testbed. Results show that the distributed sequential localization algorithm produces comparable results to the state-of-the-art centralized localization algorithms. Experiments also show that pre-post processing plays important roles at getting good localization results for all localization algorithms
Year
DOI
Venue
2006
10.1109/AINA.2006.304
AINA (2)
Keywords
Field
DocType
pre-post processing,existing localization algorithm,localization algorithm,big localization error,active sensor network,active sensor network deployment,sequential localization scheme,localization scheme,mobile robots,good localization result,sequential localization process,sequential localization algorithm,state-of-the-art centralized localization algorithm,location-aware sensor,mobile robot,wireless sensor networks,accurate localization result,mobile computing,testing,sensor network,hardware,sequential analysis,global positioning system
Mobile computing,Software deployment,Computer science,Testbed,Algorithm,Sensor network deployment,Real-time computing,Global Positioning System,Wireless sensor network,Mobile robot,Distributed computing
Conference
Volume
ISSN
ISBN
2
1550-445X
0-7695-2466-4
Citations 
PageRank 
References 
4
0.65
8
Authors
3
Name
Order
Citations
PageRank
Ying Zhang11692118.14
Qingfeng Huang274950.42
Juan Liu31128145.32