Context-Aware Voip congestion control service

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dc.creatorAgutu, Gordon
dc.creatorDjouani, Karim
dc.creatorBiermann, Elmarie
dc.creatorNoel, Guillaume
dc.date07/04/2013
dc.dateThu, 4 Jul 2013
dc.dateThu, 4 Jul 2013 16:40:10
dc.dateYear: 2011
dc.dateThu, 4 Jul 2013 16:40:10
dc.date.accessioned2015-03-18T11:29:02Z
dc.date.available2015-03-18T11:29:02Z
dc.descriptionPublished in The African Journal of Information and Communication, Issue no 11 2010/2011
dc.descriptionIP networks can have difficulty coping with delay-sensitive VoIP traffics during emergency situations caused by fires and related disasters. During emergencies there is a huge increase in voice and video traffic, causing a huge strain on the network. The strain on the network is as a result of both essential and non-essential traffic. In such crisis situations, calls originating from or destined for rescue personnel, such as doctors and police, are considered essential. Any other calls from eyewitnesses and the public are considered non-essential, since they degrade the quality of service for the emergency response teams by consuming the scarce network resources. Providing the rescue team with the quality of service that they require necessitates network access restriction for non-essential traffic. In this paper, the authors present a voice and video service that uses Context-Awareness and Semantic Web technologies to restrict network access to privileged users during crisis situations. The service monitors the network for crisis conditions, enables the network to respond appropriately when a crisis occurs, detects the end of the crisis and reverts to its default state.
dc.description.abstractIP networks can have difficulty coping with delay-sensitive VoIP traffics during emergency situations caused by fires and related disasters. During emergencies there is a huge increase in voice and video traffic, causing a huge strain on the network. The strain on the network is as a result of both essential and non-essential traffic. In such crisis situations, calls originating from or destined for rescue personnel, such as doctors and police, are considered essential. Any other calls from eyewitnesses and the public are considered non-essential, since they degrade the quality of service for the emergency response teams by consuming the scarce network resources. Providing the rescue team with the quality of service that they require necessitates network access restriction for non-essential traffic. In this paper, the authors present a voice and video service that uses Context-Awareness and Semantic Web technologies to restrict network access to privileged users during crisis situations. The service monitors the network for crisis conditions, enables the network to respond appropriately when a crisis occurs, detects the end of the crisis and reverts to its default state.
dc.formatIssue No.:11
dc.identifier
dc.identifier.urihttp://hdl.handle.net/11071/3631
dc.languageeng
dc.publisherThe African Journal of Information and Communication
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dc.subjectCall admission control
dc.subjectcontext-awareness
dc.subjectontology
dc.subjectsemantic web
dc.subjectweb ontology language
dc.titleContext-Aware Voip congestion control service
dc.typeArticle
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