Energy-aware analysis for supplying partner selection in mobile P2P 3D streaming

Abstract

Due to the rapid improvements of wireless technologies and mobile devices'capabilities, we are witnessing an important growth in applications using thin mobile devices. Augmented reality took advantage of the enhancement of thin mobile devices, which led to the emergence of Mobile Augmented Reality (MAR). Given that thin mobile devices can not have the entire virtual environment (VE) stored locally, multimedia streaming has been designed and is widely used nowadays in MAR. Most of the MAR systems apply the conventional client-server approach, that may suffer from delay and congestion, which affects the system performance. P2P-based multimedia streaming is considered, therefore, an alternative approach. Although mobile P2P based video streaming received a great deal of attention, mobile P2P based 3D streaming was not the choice of designed systems, mainly due to the limited mobile device's capabilities. Moreover, the main challenge that needs to be taken care of when designing mobile P2P based 3D streaming systems, is the selection of a supplying partner. A few studies have proposed supplying partner protocols for mobile P2P-based 3D streaming. However, they did not take into account the device's energy that is considered an important constraint when dealing with 3D streaming. In this paper, we propose an efficient energy-aware supplying partner protocol for mobile P2P networks based 3D streaming. A new load estimator is defined that takes into consideration two factors: the node's remaining energy and its number of served requests. We therefore propose the integration of an energy-aware criterion into the supplying partner selection in order to reduce the generation of overloaded nodes, and their energy dissipation. We then report on the performance evaluation we have obtained to evaluate our protocol using an extensive set of simulation experiments.

A Survey on Energy Efficiency in P2P Systems

“…P2P overlay networks maintain some sort of structure or topology that defines which peers are connected to each other, and how they can communicate. Approaches based on structure optimization specify how such struc- Proxy-based [Nordman and Christensen 2010] [ Anastasi et al 2010] [Giannetti et al 2012] [Hlavacs et al 2012] [Jimeno andChristensen 2007] [ Agarwal et al 2009] [Kelényi and Nurminen 2010] [ Kelényi et al 2010a] [Kelényi et al 2010b] [Kelényi et al 2011a] [Kelényi et al 2011b] [Kelényi et al 2012 Peer Selection [Mawji and Hassanein 2010] [ Enokido et al 2010] [ ] [Maamar et al 2011] [Maamar et al 2013 Resource Allocation [ Chen et al 2011] [Chen et al 2013] [Albiero et al 2008] [ Yeung and Kwok 2008] [ Ramadan et al 2008] [ Barua et al 2013] [Zhang et al 2007] [Garbinato et al 2010] [Kontos et al 2014 Structure Optimization [Han et al 2008] [Trunfio 2014] [Chandrasekar et al 2012 [ Raj et al 2013] [ Leung and Kwok 2005] [ Leung and Kwok 2008] [ van Renesse 2002] [ Ozkasap et al 2014] Message Reduction [Kelényi andNurminen 2008a] [Kelényi andNurminen 2008b] [ Ding andBhargava 2004] [da Hora et al 2007] […”

“…Some examples are presented below. Maamar et al in [2011] and[2013] consider a protocol to select the supplier peer in mobile P2P 3D streaming applications. In augmented reality, the real world is mapped to the virtual world and mobile devices are used to navigate the virtual environment.…”

Special Issue: Performance evaluation of communications in distributed systems and Web based service architectures

“…Maamar et al . propose two energy management control protocols for supplying partner selection in P2P 3D streaming that we refer to as 1L‐EB and 2L‐EB. Authors propose a new source load estimator that takes into account two factors namely the sources remaining energy and its number of served times.…”