DocumentCode
2449487
Title
Improve the Completeness of Passive Monitoring Trace in Wireless Sensor Network
Author
Xu, Xianghua ; Tong, Chao ; Wan, Jian
Author_Institution
Grid & Services Comput. Lab., Hangzhou Dianzi Univ., Hangzhou, China
fYear
2010
fDate
6-10 Dec. 2010
Firstpage
560
Lastpage
566
Abstract
The performance evaluation of wireless sensor network based on passive monitoring restricted by two respects: first, passive monitoring trace is incomplete, because monitors can not capture every transmission in the network. Second, the information directly extracted from trace is insufficient. Performance evaluation always needs some implicit information, e.g., packet reception. To solving the problems above, we use two processing steps to construct an enhanced trace of network. First, an online merging procedure combines the incomplete traces of various monitors into a single more complete trace. Next, an inference procedure based on finite state machine reconstructs packets that were not captured by any monitor and determines whether a packet was received by its destination. Merging and inference procedure are realized in CTP Network which is incorporated with TinyOS. The evaluation is performed on simulation. The experiment results show that, if the trace contains more than 70% of the total packets, the engine can infer 20%-25% more loss packets and 90% packets´ reception.
Keywords
computerised monitoring; finite state machines; inference mechanisms; telecommunication computing; telecommunication network management; wireless sensor networks; CTP network; TinyOS; finite state machine; inference procedure; online merging procedure; packet reception; passive monitoring trace; performance evaluation; wireless sensor network; Accuracy; Automata; Merging; Monitoring; Protocols; Routing; Wireless sensor networks; CTP; TinyOS; finite state machine; passive monitoring; trace completeness;
fLanguage
English
Publisher
ieee
Conference_Titel
Services Computing Conference (APSCC), 2010 IEEE Asia-Pacific
Conference_Location
Hangzhou
Print_ISBN
978-1-4244-9396-8
Type
conf
DOI
10.1109/APSCC.2010.112
Filename
5708621
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