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Research On Energy-Efficient Schemes In Information-Centric Networking

Posted on:2016-02-14Degree:DoctorType:Dissertation
Country:ChinaCandidate:C FangFull Text:PDF
GTID:1108330482457837Subject:Communication and Information System
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Nowadays, the Internet has become one of the most important infrastruc-ture in modern society, which is widely used in social and economic, cultural, political, military and all areas of life, and is one of the important factors to pro-mote economic development and social progress. With the explosive growth of the Internet traffic, Internet communication lacks of the content itself. To better cope with the Internet usage shift from host-centric end-to-end communication to receiver-driven content retrieval, innovative Information-Centric Network-ing (ICN) architectures have been proposed. Nowadays some excellent works have been done on ICN, and most of them focus on architectural issues includ-ing naming and addressing, caching, flow control as well as mobility. However, the energy consumption aspect in this setting is largely ignored. With the explo-sive increase of global network traffic, the energy efficiency issue in ICN is a growing concern. Besides, the increasingly rigid environmental standards and rapidly rising energy costs have led to an emerging trend of addressing "energy efficiency" aspect of the Internet.In this dissertation, sleeping technology and energy-efficient cache strate-gies are studied. Correspondingly, several innovative schemes are studied and the performance of the proposed schemes is verified by theoretical analysis and computer simulation methods. The main contributions of this dissertation are concluded as the following:(1) We propose to switch off the redundant network content routers and links to improve energy efficiency of CCN. The main contributions of this paper are as follows.Firstly, to the best of our knowledge, this is the first time in the literature to systematically analyze the energy efficiency problem in CCN by turning off the content routers and network links.Secondly, we formulate the energy consumption problem as a mixed in-teger linear programming (MILP) model, and propose a centralized solution via spanning tree heuristic, which tackles the energy optimization problem by solving the relaxations of the model at each step of the heuristic.Thirdly, we propose a fully distributed energy consumption optimization algorithm in CCN via dual decomposition (DD), which transforms the central-ized energy consumption optimization problem into the node status, link status, and link flow subproblems.Fourthly, to accelerate the convergence speed of DD, we propose a fully distributed consensus optimization algorithm via the alternating direction method of multipliers (ADMM) to solve the energy efficiency problem in CCN. The de-veloped algorithm introduces an alternative approach for commonly used dual decomposition: first, a consensus problem is formulated with additional local variables, and then, it is solved via the ADMM to achieve fast convergence. By duplicating flow variables, the energy consumption problem decomposes into node specific subproblems with local variables. These variables are iteratively driven into consensus via the ADMM.Finally, various simulation results are utilized to verify the effectiveness of the proposed two distributed schemes.(2) We propose an energy-efficient distributed in-network caching scheme for CCN.Firstly, In the proposed energy-efficient distributed in-network caching scheme, each content router only needs locally available information to make caching decisions considering both caching energy consumption and transport energy consumption.Secondly, We formulate the energy-efficient distributed in-network caching problem as a non-cooperative game. Through rigorous mathematical analysis, we prove that pure strategy Nash equilibria exist in the distributed solution, and it always-has a strategy profile that implements the socially optimal configura- tion, even if the routers are self-interested in nature.Finally, various simulation results are utilized to verify the effectiveness of the proposed scheme.(3) We propose an energy-delay tradeoff model in single base station with cache.Firstly, we analyze the energy-delay tradeoff problem in the context of single base station with a cache capacity to buffer network contents. Although additional power is consumed by the cache, the work load of BS and network delay will be reduced, which makes a tradeoff between network power and de-lay.Secondly, simulation results verify the property of the proposed energy-delay tradeoff model with the existing solution without a cache. In addition, we find that a large cache size does not always mean a less network cost because of the more cache power consumption.
Keywords/Search Tags:Information-Centric Networking, energy efficiency, energy- efficient cache placement, energy-efficient content placement, sleeping tech- nique
PDF Full Text Request
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