Energy Efficient Data Retrieval and Caching in Mobile Peer-to-Peer Networks

Abstract

Mobile peer-to-peer (MP2P) networks consist of mobile devices that communicate with each other via short-range wireless transmissions to facilitate sharing of information among them. Such networks present a constrained communication environment due to fundamental limitations of battery power and wireless bandwidth, and users' frequent mobility. These characteristics of MP2P networks make scalable data retrieval a challenging problem. In this paper, we propose a novel scheme, called proximity regions for caching in cooperative MP2P networks (PReCinCt), to efficiently support scalable data retrieval in large-scale MP2P networks. In the PReCinCt scheme, the network topology is divided into geographical regions where each region is responsible for a set of keys representing the data. Each key is then mapped to a region location based on a geographical hash function. A geographic-aided routing protocol is used to route traffic of each data retrieved. In order to further save bandwidth for each data retrieved, PReCinCt incorporates a cooperative caching scheme that caches relevant data among a set of peers in a region. Simulation results show that the proposed scheme achieves significant improvements in average latency and energy consumption.