DocumentCode :
491374
Title :
A Data Collection Protocol for Local Mobile Sensor Network
Author :
Zeng, Bin ; Wei, Jun ; Liu, Haiqing
Author_Institution :
Dept. of Manage., Naval Univ. of Eng., Wuhan
Volume :
1
fYear :
2009
fDate :
6-8 Jan. 2009
Firstpage :
523
Lastpage :
527
Abstract :
In future pervasive computing environments, applications should be able to automatically adapt to their changing context such as environment status and system conditions. Therefore, context information collection is an ignored yet significant research area. An efficient sensor data collection protocol is studied in this paper for a sensor header (collector) to continuously collect data from mobile nodes in its local access area, where the mobile node refers to a relatively tiny sensor often fixed on a mobile object without high precision antenna to sense carriers emitted by other nodes. The protocol consists of registration phase when one-to-many access model is used to identify the local nodes and data collection phase when the efficient one-to-one access model can be incorporated based on the result of first phase. Furthermore, the critical performance parameters are derived to analyze and control the runtime execution of the protocol. Simulation results show that the protocol performance improves in a wide mobility range by appropriately controlling the system parameters.
Keywords :
mobile communication; protocols; ubiquitous computing; wireless sensor networks; data collection phase; local access area; local mobile sensor network; mobile nodes; mobile object; one-to-many access model; one-to-one access model; pervasive computing environment; registration phase; sensor data collection protocol; Access protocols; Computer networks; Context; Mobile communication; Mobile computing; Monitoring; Pervasive computing; Radiofrequency identification; Switches; Wireless sensor networks; Data Collection Protocol; Mobile Sensor Network; pervasive computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Mobile Computing, 2009. CMC '09. WRI International Conference on
Conference_Location :
Yunnan
Print_ISBN :
978-0-7695-3501-2
Type :
conf
DOI :
10.1109/CMC.2009.40
Filename :
4797052
Link To Document :
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