Deploying Mobile Software Agents for Distributed Data Mining on Wireless Sensor Networks: A Comparative Analysis

被引：1
|
作者：
Nagarajan, Ranjani [1 ]
Cuzzocrea, Alfredo [1 ]
Gaber, Mohamed Medhat [1 ]
机构：
[1] Monash Univ, Caulfield Sch Informat Technol, Clayton, Vic 3800, Australia
来源：
2012 IEEE 24TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2012), VOL 1 | 2012年
关键词：
D O I：
10.1109/ICTAI.2012.176
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we investigate the deployment of mobile software agents in the field of distributed data mining in wireless sensor networks. The paper provides a survey of various current mobile software agents based Distributed Data Mining systems like BODHI, PADMA, Papyrus, JAM, InfoSleuth and DKN and discusses their salient features. Flexibility and autonomy of mobile software agents make them a suitable tool for software deployment in wireless sensor networks. We then discuss the deployment of mobile software agents on two popular sensor architectures Crossbow Mica2 motes and Sun SPOT. The limitation of the Sun SPOT environment in supporting mobile software agents due to the absence of serializable interface on Sun SPOTs is discussed. The common pitfalls while deploying mobile software agents using Agilla agent framework on Crossbow motes are also discussed.
引用
收藏
页码：1179 / 1185
页数：7
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