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A framework for the continuous delivery of mission-critical network services is proposed. The risk involved is assessed in a binary way, i.e., there is no risk until the network system supports the services up to the intended duration; otherwise, the mission fails and this gives rise to failure impact. The proposed framework is used to allocate network resources.
Under the constraints of limited bandwidth and exponentially rising user demand, there is a dire need to maximize throughput. Maintaining Quality of Service (QoS) in a communication network demands congestion control with high accuracy. This paper focuses on this challenging task that incorporates design of effective congestion controller to reduce packet loss in cognitive radio networks. Limited...
This paper proposes a QoS routing framework for real-time mission-critical and life critical communication such as tele-engineering and telesurgery. Such communications are real-time and seamless, and demand the hard timeliness guarantees on message delivery lag-time and recovery delays encountered due to the network component failure. Success of the fulfillment of these two requirements depends upon...
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