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Mobile Agent Approach for Traffic Load Balancing using Sensors

by T. Karthikeyan, S. Sujatha, N. Sudha Bhuvaneswari
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 47 - Number 6
Year of Publication: 2012
Authors: T. Karthikeyan, S. Sujatha, N. Sudha Bhuvaneswari
10.5120/7190-9942

T. Karthikeyan, S. Sujatha, N. Sudha Bhuvaneswari . Mobile Agent Approach for Traffic Load Balancing using Sensors. International Journal of Computer Applications. 47, 6 ( June 2012), 6-10. DOI=10.5120/7190-9942

@article{ 10.5120/7190-9942,
author = { T. Karthikeyan, S. Sujatha, N. Sudha Bhuvaneswari },
title = { Mobile Agent Approach for Traffic Load Balancing using Sensors },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 47 },
number = { 6 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 6-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume47/number6/7190-9942/ },
doi = { 10.5120/7190-9942 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:41:09.954951+05:30
%A T. Karthikeyan
%A S. Sujatha
%A N. Sudha Bhuvaneswari
%T Mobile Agent Approach for Traffic Load Balancing using Sensors
%J International Journal of Computer Applications
%@ 0975-8887
%V 47
%N 6
%P 6-10
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The MATLB (Mobile Agent for Traffic Load Balancing) architecture proposed here is a conceptual service-oriented architecture supporting interoperability of systems implementing Ambient Intelligence (AmI) environment. The objective of the paper Mobile Agent Approach for Traffic Load Balancing using Sensors focuses on building an environment equipped with ambient intelligence that can control the traffic in metropolitan cities without crippling the mobility of users. The growing advancement in Mobile Technology and its supportive tools has a greater impact on the social living of human beings. This agent based architecture with sensors, effectors, filters and middleware is one such approach that balances the traffic load and reduces the risks associated with congestion.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Ami Salsa Sensors Effectors Matlb

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