Paper Info
Title
Applying swarm intelligence to a novel congestion control approach for wireless sensor networks
Abstract
Recently, sensor networks have attracted significant research interest. However, most studies have mainly focused on protocols for applications in which network performance assurances are not considered essential. With the emergence of mission-critical applications, performance control mechanisms are considered of prime importance. Performance control can be carried out by robust congestion control approaches that aim to keep the network operational under varying network conditions. Swarm intelligence is successfully employed to combat congestion by mimicking the collective behavior of bird flocks. In this way, the emerging global behavior of minimum congestion is achieved collectively. A flock-based congestion control (Flock-CC) approach was proposed in the past. This paper presents a new, simpler Flock-CC approach. Performance evaluations focus on parameter setting and on comparative studies between the new and the earlier version of Flock-CC.
Year
DOI
Venue
2011
10.1145/2093698.2093776
ISABEL
Keywords
Field
DocType
network performance assurance,swarm intelligence,varying network condition,wireless sensor network,novel congestion control approach,robust congestion control approach,flock-based congestion control,sensor network,performance evaluation,performance control,performance control mechanism,minimum congestion,simpler flock-cc approach,collective behavior,wearable electronics,asic,comparative study,network performance,congestion control
Collective behavior,Computer science,Swarm intelligence,Computer network,Application-specific integrated circuit,Network congestion,Wearable technology,Wireless sensor network,Network traffic control,Network performance
Conference
Citations 
PageRank 
References 
3
0.36
13
Authors
5
Name
Order
Citations
PageRank
Pavlos Antoniou135317.04
Andreas Pitsillides299895.02
Andries Engelbrecht3694.36
Tim Blackwell434727.87
Loizos Michael517422.10