NDLI: An itinerary for data fusion in distributed sensor network

Content Provider	IEEE Xplore Digital Library
Author	Meng Chen Xin Xia
Copyright Year	2011
Description	Author affiliation: JiangXi Vocational Technical College of Industry & Trade, NanChang, 330038 P. R. China (Xin Xia) \|\| The Department of Computer, NanChang University NanChang, 330031 P. R. China (Meng Chen)
Abstract	Using mobile agent for data fusion in distributed sensor network brings new problems, the serial itinerary of mobile agent travel makes long task duration, mobile agent transfer introduces new overhead, if a mission need collect data from all nodes many times mobile agent must be dispatched many times, which brings much data transfer overhead. To overcome these shortcomings, A closest first (CF) algorithm is presented to calculate a binary full spanning tree (BST) itinerary for mobile agent, full spanning tree ensuring shortest path. And the function of mobile agent is changed, when first reaching a node mobile agent give a copy of its code (called Resident Agent) into the node, resident agent can stay in the node for many times data collections and data fusion. Simulation shows that resident agent based data fusion can both reduce energy consumption and task duration time.
Starting Page	106
Ending Page	110
File Size	217359
Page Count	5
File Format	PDF
ISBN	9781457703720
e-ISBN	9781457703713
DOI	10.1109/GRC.2011.6122576
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-08
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Energy consumption resident agent Computational modeling distributed sensor network Mobile agents mobile agent Distributed databases itinerary planning Data models Servers binary spanning tree
Content Type	Text
Resource Type	Article

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