The following information was submitted:
Transactions: NUMERICAL SCHEMES AND METHODS IN SCIENCE AND ENGINEERING
Transactions ID Number: 10-198
Full Name: Kashif Saleem
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: Faculty of Electrical Engineering, University Technology Malaysia, 81310-Skudai, Johor.
Country: MALAYSIA
Tel: +6075535394
Tel prefix:
Fax: +6075566272
E-mail address: kashnet@hotmail.com
Other E-mails: kashif_pg@fke.utm.my
Title of the Paper: biosarp – bio-inspired self-optimized routing algorithm using ant colony optimization for wireless sensor network – experimental performance evaluation
Authors as they appear in the Paper: Kashif Saleem, Norsheila Fisal, M. Ariff Baharudin, Adel Ali Ahmed, Sharifah Hafizah, Sharifah Kamilah
Email addresses of all the authors: kashnet@hotmail.com, sheila@fke.utm.my, mariff@fke.utm.my, adelali3@lycos.com, sharifah@fke.utm.my, kamilah@fke.utm.my
Number of paper pages: 10
Abstract: Nowadays, wireless sensor networks (WSNs) are becoming increasingly beneficial, worthwhile and a challenging research area. The advancements in WSN enable a wide range of environmental monitoring and object tracking applications. Moreover, multihop (node by node) routing in WSN is affected by new devices constantly entering or leaving the network. Therefore, nature in-spired self-maintained protocols are required to tackle the problems arising in WSN. We proposed ant colony stimulated routing, which shows an outstanding performance for WSNs. In this manuscript, a self-optimized (ACO) routing protocol for WSN and the results are presented. Link quality, energy level and velocity parameters are used to discover an optimal route. The signal strength, remaining power and timestamp metrics are trade in from physical layer to network layer. The emitted decision through the WSN discovery will establish the optimal route from source to destination. The adopted architecture!
helps ACO in improving the overall data throughput; especially in the case of real time traffic.
Keywords: Ant colony optimization, Energy, Multihop, Packet reception rate, Routing, Velocity, Wireless sensor network
EXTENSION of the file: .doc
Special (Invited) Session: Ant Colony inspired Self-Optimized Routing Protocol based on Cross Layer Architecture for Wireless Sensor Network
Organizer of the Session: 646-512
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