Performance Analysis And Simulation Evaluation Of Sleep Mode In Future Network

Huge energy consumption result from rapid economical development has become the first constraint for further development and the biggest cost for natural reservations. Since Internet/Telecommunications is a industry that’s closely related to electrical energy, it has become a hot issue to research how to reduce energy consumption for networks. Currently popular solutions consist of dynamic adaptive routing algorithm, network topology optimization, etc. However, among them sleeping/wake up mode is still the most useful way to control energy consumption and reduce energy waste. Although sleeping/wake up mode is a very mature technique, there is long way to go to apply it to future networks. Normally future networks are characterized of sparsely distributed, intermittent connected, and long delay, which makes it difficult to apply sleeping/wake up mode to future networks.Taking Peer-to-Peer and Delay/Disruption Torrent Network for instance, this thesis has introduced and analyzed two sleeping/wake up modes within those two network architectures. When talking about Peer-to-Peer architecture, this thesis shows that simple changes to the BitTorrent protocol, including long-lived knowledge of sleeping peers and a new wake-up semantic, can enable clients to sleep when not actively downloading or uploading yet still be responsive swarm members. Using ns-2 we simulate a green BitTorrent swarm with 50 peers. We show that significant energy savings (at least 75%) are achievable with only a small performance penalty in increased file download time.When it comes to Delay/Disruption Torrent Network, a power management scheme called context-aware power management scheme (CAPM) for DTNs has been designed. CAPM scheme has an adaptive on period feature that allows it to achieve high delivery ratio and low delivery latency when used with Prophet, a recently proposed DTN routing scheme. Via simulations, the performance of the CAPM scheme is evaluated when used with the Prophet routing scheme in different scenarios e.g. different traffic load, node speeds and sleep patterns. The evaluation results indicate that the CAPM scheme is very promising in providing energy saving (as high as 80%) without degrading much the data delivery performance.