Transmission Control In Energy-Constrained And Energy-Unconstrained Networks

With the development of smart sensors,the Internet are changing into the Internet of Things(Io T).There are two challenges existing in the deployment and application of Io T.On the one hand,the limited battery capacity are becoming the bottleneck of deploying the Io T devices on a large scale.The evolving technique of energy harvesting enables the devices capture the energy directly from the ambient environment,thus drawing attention extensively from both the academia and industrial community.As energy harvesting sources are unstable,we should redesign the transmission scheduling for the Io T access networks,thus ensuring the network performance.On the other hand,Io T devices generate massive data(especially video data)everyday,thus placing greater demands on higher transmission rate in the Io T core networks and purely enhancing the network bandwidth can hardly help.The information centric networking(ICN)has the advantages of efficient data dissemination and strong scalability,thus becoming one of the most promising architecture of the future Io T core networks.however,the optimized design of the video content delivery that aims to improve the transmission efficiency and user experiences remains largely unknown.We are motivated to develop this thesis based on the above two key problems and the main contributions of this thesis are summarized as follows:1.The design and analysis of the data buffer in energy harvesting communication networks We are motivated to jointly consider the data arrival and energy arrival processes in energy harvesting communication networks.In view of the randomness of the data and energy arrival processes and the nonlinear power-rate function,we model the single-node energy harvesting communication system as a queueing system to investigate the relationship between the average transmission rate and the buffer capacity.Both the theoretical and simulation results show that the system can achieve the near optimal average transmission rate when the buffer capacity equals to the average data backlog.Moreover,the matching buffer capacity in the case of constant data arrival is much smaller than that in the case of random data arrival,for achieving the same data loss rate.2.The design and analysis of the rate control in energy harvesting communication networks We mainly study the optimal rate control in energy harvesting communication networks when the data and energy arrival processes are both stochastic and random.Given any constant of T,our goal is to maximize the total throughput in [0,T] for a single-node energy harvesting communication system.In view of the randomness of both the data and energy arrival processes that brings the difficulty for problem—solving,we introduce the mathematical tool of network calculus.Thus,both the data and energy arrival processes can be modeled and analyzed visually.Results show that the proposed algorithm can achieve the optimal solution and the corresponding computation complexity grows linearly with the problem size.3.The study of a novel video streaming transmission mechanism based on the information centric networking we incorporate the dynamic adaptive streaming technique into the information centric networking to design a novel video streaming transmission mechanism,thus improving the efficiency of video content dissemination and user experiences.Specifically,we design the network as a two—layer coordinating structure,e.g.,the control layer and the transmission layer.The control layer captures the video popularity,the link state and the user request.The transmission layer optimize the forwarding of user request and cache update based on the statistical data from the control layer.In the context of the above system architecture,we first develop the distributed algorithm of data forwarding and cache update,thus maximizing the user requests within the network stability region.Then based on the proposed algorithm,we improve the strategy of cache update to make the algorithm applicable to practical systems.Simulation results show that the proposed novel video streaming transmission mechanism demonstrates good performance in terms of low delay and high user experiences.