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DC Field | Value | Language |
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dc.contributor.author | Nurul Ain, Musa | - |
dc.date.accessioned | 2016-06-12T10:56:25Z | - |
dc.date.available | 2016-06-12T10:56:25Z | - |
dc.date.issued | 2015-06 | - |
dc.identifier.uri | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/42031 | - |
dc.description | Access is limited to UniMAP community. | en_US |
dc.description.abstract | The emergence of Wireless Sensor Network (WSN) field has developed beneficial potential for real-time and remote monitoring system such as landslide monitoring, military surveillance as well as home automation and healthcare monitoring system. Most of these applications emphasize the need to preserve high Quality-of-Services (QoS). A wireless sensor network consists of remotely deployed wireless sensor nodes in a physical phenomenon. The main task of sensor nodes is to collect specific data from surrounding environment and then route it to the base station or sink. When a particular event is detected, the sensor nodes become activated and there is a sudden burst of traffic towards the sink. This may lead to buffer-overloaded problem which is known as congestion, which cause packet drops that finally degrades overall network performance. Such issues provide the motivation for this dissertation, which lead to the introduction of an Adaptive Rate Congestion Control (ARCC) mechanism. The integration of Selective Forwarding Node (SFN) and Relaxation Theory (RT) has proved to achieve huge reduction in packet loss rates (as low as 0.014%) which also minimizes end-to-end delay (less than 150ms) within allowable WSN threshold. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
dc.subject | Wireless Sensor Network (WSN) | en_US |
dc.subject | Wireless | en_US |
dc.subject | Adaptive Rate Congestion Control (ARCC) | en_US |
dc.subject | Adaptive Rate Congestion Control (ARCC) -- Analysis | en_US |
dc.subject | Congestion control | en_US |
dc.title | Performance analysis of an adaptive rate congestion control in wireless sensor networks (WSN) | en_US |
dc.type | Learning Object | en_US |
dc.contributor.advisor | Dr. Naimah Yaakob | en_US |
dc.publisher.department | School of Computer and Communication Engineering | en_US |
Appears in Collections: | School of Computer and Communication Engineering (FYP) |
Files in This Item:
File | Description | Size | Format | |
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Abstract,Acknowledgement.pdf | 233.13 kB | Adobe PDF | View/Open | |
Introduction.pdf | 295.18 kB | Adobe PDF | View/Open | |
Literature Review.pdf | 262.01 kB | Adobe PDF | View/Open | |
Methodology.pdf | 687.61 kB | Adobe PDF | View/Open | |
Results and Discussion.pdf | 214.21 kB | Adobe PDF | View/Open | |
Conclusion and Recommendation.pdf | 179.66 kB | Adobe PDF | View/Open | |
Refference and Appendics.pdf | 367.25 kB | Adobe PDF | View/Open |
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