Jaafar, Anuar and Othman, N.F. and Zainuddin, Muhammad Noorazlan Shah and Ismail, Mohd Muzafar and Mahmud, Mohd Nazri (2012) Bit-Communication In Artifical Swarm. In: International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 , 12-14 June 2012, Kuala Lumpur. (Submitted)
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BIT-COMMUNICATION IN ARTIFICAL SWARM-ANUAR JAAFAR-MAK 00574 RAF.pdf Download (5MB) |
Abstract
Bit communication in swarm agents is a communication process of transmitting data within specific area. The data must be delivered to all agents in the area which this process also closely related to broadcasting manner through bit-communication as a way to spread out the data among all those agents. This research field is supposed to have a deep study of behavior of homogeneous agents by inspecting the reversing and non-reversing approach. It also included the investigation of the independent and characteristic of transmitting and receiving data for random process of swarm. In this paper, swarm technique is implemented which is useful for bit-communication behavior. There are two approaches are used for transmitting and receiving process. For the reverse approach, the data can be resend back to the sender for the next cycle where the program randomly select one-of nearest agent for transmitting the data. While in non-reversing approach, the data cannot retransmit back to the sender in the previous cycle; this approach may increase the system performance and efficiency.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Signal processing -- Digital techniques, Speech processing systems |
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Electronics and Computer Engineering > Department of Computer Engineering |
| Depositing User: | Users 4097 not found. |
| Date Deposited: | 28 Dec 2017 08:14 |
| Last Modified: | 28 Dec 2017 08:14 |
| URI: | http://eprints.utem.edu.my/id/eprint/20216 |
| Statistic Details: | View Download Statistic |
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