In this paper, we present the Buffer Sens(tive Rate-Based (BSRB) algorithm, which provides a fair scheduling scheme to serve video playback requests, while maximizing the performance of individual playback. In BSRB, the amount of bandwidth allocated to serve a video request depends on the buffer leve[ of the req~estingclient, and the expected and minimum bandwidth requirements of the video. By maintaining a high video buffer level at a client, the quality of the playbacks can be maintained and its performance will be more adapJive to the changing playback conditions. By employing the rate-based policy in BSRB, the performance of the requests is less affected by the poor performance ofa single client and hence fair services can be provided to the clients.
In this paper, we propose an energy efficient and delay guaranteed node scheduling scheme inspired by biological systems, which have gained considerable attention as a computing and problem solving technique. With the identification of analogies between cellular signaling systems and WSN systems, we formulate a new mathematical model that considers the networking challenges of WSNs. The proposed bio-inspired algorithm determines the state of the sensor node, as required by each application and as determined by the local environmental conditions and the states of the adjacent nodes. A control analysis shows that the proposed bio-inspired scheme guarantees the system stability by controlling the parameters of each node. Simulation results also indicate that the proposed scheme provides significant energy savings, as well as reliable delay guarantees by controlling the states of the sensor nodes.※ 본 연구는 경기도의 경기도지역협력연구센터 (GRRC SUWON 2013-B5) 사업의 일환으로 수행되었습니다.First
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