Paper Info
Title
A bio-inspired approach for streaming applications in wireless sensor networks based on the Lotka-Volterra competition model
Abstract
In the new era of Ambient Intelligence, wireless sensor networks (WSNs) are seen to bridge the gap between physical world and the Internet, making a large amount of information accessible anywhere, anytime. Over the last few years, WSNs are being developed towards a large number of multimedia streaming applications, e.g. video surveillance, traffic control systems, health monitoring, and industrial process control. WSNs consist of small sensor devices (nodes) that are capable of working unattended, without centralized control, under dynamically changing conditions. However, these devices face important limitations in terms of energy, memory and computational power. The uncontrolled use of limited resources in conjunction with the unpredictable nature of WSNs in terms of traffic load injection, wireless link capacity fluctuations and topology modifications may lead to congestion. Congestion can cause increased packet loss and delay. This paper proposes a bio-inspired congestion control approach for WSNs streaming applications that necessitate controlled performance with graceful degradation. In the proposed approach, congestion in WSNs is prevented (or at least minimized) by regulating the rate of each traffic flow based on the Lotka–Volterra competition model. Performance evaluations reveal that the proposed approach achieves adaptability to changing traffic loads, scalability and fairness among flows, while providing graceful performance degradation as the offered load increases.
Year
DOI
Venue
2010
10.1016/j.comcom.2010.07.020
Computer Communications
Keywords
Field
DocType
streaming applications,traffic flow,congestion control (cc),traffic control system,wireless sensor network,wireless sensor networks (wsns),bio-inspired approach,traffic load injection,lotka-volterra competition model,graceful performance degradation,industrial process control,centralized control,traffic load,bio-inspired congestion control approach,lotka–volterra (lv) competition model,performance evaluation,congestion control,packet loss,process control,graceful degradation,ambient intelligence
Key distribution in wireless sensor networks,Wireless network,Traffic flow,Computer science,Computer network,Packet loss,Offered load,Network congestion,Wireless sensor network,Scalability
Journal
Volume
Issue
ISSN
33
17
Computer Communications
Citations 
PageRank 
References 
16
0.78
9
Authors
2
Name
Order
Citations
PageRank
Pavlos Antoniou135317.04
Andreas Pitsillides299895.02