Affiliation:
1. University of Cyprus, Cyprus
Abstract
Next generation communication networks are moving towards autonomous wireless infrastructures, as for example, Wireless Sensor Networks (WSNs) that are capable of working unattended under dynamically changing conditions. 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. However, WSNs 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 (e.g. due to node failures) may lead to congestion. Congestion can cause deterioration of the offered quality of service (QoS). This study proposes a bio-inspired congestion control approach for WSNs streaming applications that necessitate controlled performance with graceful degradation. The proposed approach prevents congestion 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.
Reference22 articles.
1. A survey on wireless multimedia sensor networks
2. Wireless sensor networks: a survey
3. Analoui, M., & Jamali, S. (2006). A conceptual framework for bio-inspired congestion control in communication networks. Proceedings of the 1st BIMNICS, (pp. 1–5).
4. Antoniou, P., & Pitsillides, A. (2007, November). Towards a scalable and self-adaptable congestion control approach for autonomous decentralized networks. Nature-Inspired Smart Information Systems Annual Symposium 2007, St Julians, Malta.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献