International Journal of Computer Engineering and Technology (IJCET)

Source ID:00000005
Volume 10, Issue 5,September-October 2019, Pages 20-37, Page Count - 18

CONGESTION CONTROL FOR A ULTRA-WIDEBAND DYNAMIC SENSOR NETWORK USING AUTONOMIC BASED LEARNING

Sanjay K N (1) Shaila K (2) Venugopal K R (3)

(1) Research Scholar, Department of Electronics and Communication Engineering, Vivekananda Institute of Technology, Bengaluru, India.
(2) Professor, Department of Electronics and Communication Engineering, Vivekananda Institute of Technology, Bengaluru, India.
(3) Vice-Chancellor, Bangalore University, Bengaluru, India.

Manuscript ID:- 00000-03104
Access Type : Open Access
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Cite this article:Sanjay K N,Shaila K,Venugopal K R,  Congestion Control For A Ultra-wideband Dynamic Sensor Network Using Autonomic Based Learning, International Journal of Computer Engineering and Technology(IJCET), 2019, 10(5), PP.20-37

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Abstract

The physical conditions of the area of interest is being collected at the central location using a set of dedicated sensors that forms a network is referred to as Wireless Sensor Network. A dynamic environment is required for a secure multi-hop communication between nodes of the heterogeneous Wireless Sensor Network. One such solution is to employ autonomic based learning in a MAC Layer of the UWB TxRx. Over a time period the autonomic based network learns from the previous experience and adapts to the environment significantly. Exploring the Autonomicity would help us in evading the congestion of about 30% in a typical UWB-WSNs. Simulation results showed an improvement of 5% using Local Automate Collision Avoidance Scheme (LACAS-UWB) compared to LACAS.
Author Keywords
Autonomic Network Architecture Dynamic En- vironment LACAS Stocastic Model Ultra Wide-band Wireless Sensor Networks
Index Keywords
MAC Layer Local Automate Collision communication


ISSN Print: 0976-6367 ISSN Online: 0976-6375
Source Type: Journals Document Type: Journal Article
Publication Language: English DOI: 10.34218/IJCET.10.5.2019.003
Abbreviated Journal Title: IJCET Access Type: Open Access
Publisher Name: IAEME Publication Resource Licence: CC BY-NC
Major Subject:Physical Sciences Subject Area classification: Computer Science
Subject area: Computer Networks and Communications Source: SCOPEDATABASE