Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
CODA: congestion detection and avoidance in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Mitigating congestion in wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Siphon: overload traffic management using multi-radio virtual sinks in sensor networks
Proceedings of the 3rd international conference on Embedded networked sensor systems
Interference-aware fair rate control in wireless sensor networks
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
TCP symbiosis: congestion control mechanisms of TCP based on Lotka-Volterra competition model
Interperf '06 Proceedings from the 2006 workshop on Interdisciplinary systems approach in performance evaluation and design of computer & communications sytems
A survey on wireless multimedia sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
A conceptual framework for bio-inspired congestion control in communication networks
Proceedings of the 1st international conference on Bio inspired models of network, information and computing systems
Reducing Congestion Effects in Wireless Networks by Multipath Routing
ICNP '06 Proceedings of the Proceedings of the 2006 IEEE International Conference on Network Protocols
Cluster-based congestion control for sensor networks
ACM Transactions on Sensor Networks (TOSN)
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
PABM-EDCF: parameter adaptive bi-directional mapping mechanism for video transmission over WSNs
Multimedia Tools and Applications
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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.