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Issue No.01 - Jan. (2014 vol.13)
pp: 202-215
Panayiotis Kolios , Center for Telecommun. Res., King's Coll. London, London, UK
Vasilis Friderikos , Dept. of Manage., London Sch. of Econ. & Political Sci., London, UK
Katerina Papadaki , Dept. of Manage., London Sch. of Econ. & Political Sci., London, UK
ABSTRACT
In this paper, store-carry and forward (SCF) decision policies for relaying within the cell are developed. The key motivation of SCF relaying stems from the fact that energy consumption levels can be dramatically reduced by capitalizing on the inherent mobility of nodes and the elasticity of Internet applications. More specifically, we show how the actual mobility of relay nodes can be incorporated as an additional resource in the system to achieve savings in the required communication energy levels. To this end, we provide a mathematical programming formulation on the aforementioned problem and find optimal routing and scheduling policies to achieve maximum energy savings. By investigating structural properties of the proposed mathematical program we show that optimal solutions can be computed efficiently in time. The tradeoffs between energy and delay in the system are meticulously studied and Pareto efficient curves are derived. Numerical investigations show that the achievable energy gains by judiciously storing and carrying information from mobile relays can grow well above 70 percent for the macrocell scenario when compared to a baseline multihop wireless relaying scheme that uses shortest path routes to the base station.
INDEX TERMS
Vehicles, Relays, Delay, Computer architecture, Mobile communication, Energy consumption, Microprocessors,green cellular networking, Vehicles, Relays, Delay, Computer architecture, Mobile communication, Energy consumption, Microprocessors, network flows, Energy consumption, store-carry and forward relaying, delay tolerance, wireless routing
CITATION
Panayiotis Kolios, Vasilis Friderikos, Katerina Papadaki, "Energy-Efficient Relaying via Store-Carry and Forward within the Cell", IEEE Transactions on Mobile Computing, vol.13, no. 1, pp. 202-215, Jan. 2014, doi:10.1109/TMC.2012.233
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