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 LEARNINGSanjay 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
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.
Autonomic Network Architecture Dynamic En- vironment LACAS Stocastic Model Ultra Wide-band Wireless Sensor Networks
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|