Online Congestion Measurement and Control in Cognitive Wireless Sensor Networks
| Autor: | Carlo Fischione, Zhi Wang, Shuguo Zhuo, Hossein Shokri-Ghadikolaei |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
channel utilization
General Computer Science Cognitive wireless sensor networks Computer science Control (management) Congestion control Latency (audio) 02 engineering and technology cognitive wireless sensor networks 0203 mechanical engineering 0202 electrical engineering electronic engineering information engineering Wireless General Materials Science Protocol (object-oriented programming) latency business.industry Quality of service ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS General Engineering 020302 automobile design & engineering 020206 networking & telecommunications lcsh:Electrical engineering. Electronics. Nuclear engineering CSMA business optimization lcsh:TK1-9971 Wireless sensor network Communication channel Computer network |
| Zdroj: | IEEE Access, Vol 7, Pp 137704-137719 (2019) |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/access.2019.2943011 |
| Popis: | A lightweight distributed MAC protocol is proposed in this paper to regulate the coexistence of high-priority (primary) and low-priority (secondary) wireless devices in cognitive wireless sensor networks. The protocol leverages the available spectrum resources while guaranteeing stringent quality of service requirements. By sensing the congestion level of the channel with local measurements and without any message exchange, a novel adaptive congestion control protocol is developed by which every device independently decides whether it should continue operating on a channel, or vacate it in case of saturation. The proposed protocol dynamically changes the congestion level based on variations of the non-stationary network. The protocol also determines the optimal number of active secondary devices needed to maximize the channel utilization without sacrificing latency requirements of the primary devices. This protocol has almost no signaling and computational overheads and can be directly implemented on top of existing wireless protocols without any hardware/equipment modification. Experimental results show substantial performance enhancement compared to the existing protocols and provide useful insights on low-complexity distributed adaptive MAC mechanism in cognitive wireless sensor networks. |
| Databáze: | OpenAIRE |
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