NDLI: Energy-aware distribution of monitoring agents using Genetic Algorithms

Content Provider	IEEE Xplore Digital Library
Author	Wenjia Liu Bo Chen
Copyright Year	2010
Description	Author affiliation: Department of Mechanical Engineering - Engineering Mechanics and the Department of Electrical & Computer Engineering, Michigan Technological University, Houghton, 49931 USA (Bo Chen) \|\| Department of Electrical & Computer Engineering, Michigan Technological University, Houghton, 49931 USA (Wenjia Liu)
Abstract	In a mobile agent-based monitoring network, mobile monitoring agents travel over the network to detect abnormal conditions in real-time. Each mobile monitoring agent is a damage diagnosis program which can recognize certain type of damage. To achieve effective damage detection and prolong the lifetime of a monitoring network, this paper studies energy-aware distribution of mobile monitoring agents using Genetic Algorithm (GA). The goal of the GA-based algorithm is to distribute monitoring agents to sensor nodes where sensor feature vectors have high affinities with memory cells of a monitoring agent and the remaining battery capacity of the sensor node is above a predefined threshold. With this distribution strategy, the system is able to send certain type of monitoring agents to the site where they are needed. When there are more than one sensor nodes in the suspicious region, the sensor node with high remaining battery capacity will have higher priority to receive a mobile monitoring agent. This distribution scheme makes the remaining battery capacity of sensor nodes in the network more balanced so that the lifetime of the monitoring network is extended.
Starting Page	257
Ending Page	262
File Size	1143504
Page Count	6
File Format	PDF
ISBN	9781424471010
e-ISBN	9781424471010
DOI	10.1109/MESA.2010.5552064
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Variable speed drives Mobile communication structural health monitoring Sensors genetic algorithms Monitoring Biological cells monitoring networks
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Cluster-Based Energy-Efficient Structural Health Monitoring Using Wireless Sensor Networks

Conveyance system using autonomous mobile robots

Genetic algorithms for finding optimal locations of mobile agents in scalable active networks

Uniform distribution of mobile agents using genetic algorithms for military applications in MANETs

Monitoring of traffic networks using mobile sensors

Genetic algorithm based mobility aware clustering for energy efficient routing in wireless sensor networks

A new idea: Mobile structural health monitoring using Smart phones

Load sharing for mobile agents using genetic algorithms

GA-MIP: Genetic algorithm based multiple Mobile Agents itinerary planning in wireless sensor networks

Energy-aware distribution of monitoring agents using Genetic Algorithms

Similar Documents

Cluster-Based Energy-Efficient Structural Health Monitoring Using Wireless Sensor Networks

Conveyance system using autonomous mobile robots

Genetic algorithms for finding optimal locations of mobile agents in scalable active networks

Uniform distribution of mobile agents using genetic algorithms for military applications in MANETs

Monitoring of traffic networks using mobile sensors

Genetic algorithm based mobility aware clustering for energy efficient routing in wireless sensor networks

A new idea: Mobile structural health monitoring using Smart phones

Load sharing for mobile agents using genetic algorithms

GA-MIP: Genetic algorithm based multiple Mobile Agents itinerary planning in wireless sensor networks

Energy-aware distribution of monitoring agents using Genetic Algorithms