2013/09/24 by Joonas Pääkkönen, J. Pääkkönen, Pääkkönen, J. +6 · 3 citations
Computer Science · Engineering · #Advanced Data Storage Technologies #Base station #Caching and Content Delivery #Cellular network #Computer data storage #Computer hardware #Computer network #Computer science #Data redundancy #Database #Distributed computing #Distributed data store #Energy consumption #Engineering #FOS: Computer and information sciences #Mobile computing #Mobile device #Mobile station #Networking and Internet Architecture (cs.NI) #Operating system #Opportunistic and Delay-Tolerant Networks #Redundancy (engineering) #Replication (statistics) #Upload #cs.NI
paper · pdf · doi:10.48550/arxiv.1309.6123
published in arXiv (Cornell University) (Cornell University) · 6 pages, 9 figures. Accepted, will appear in the proceedings of Globecom 2013 (Device-to-Device (D2D) Communication With and Without Infrastructure)
arxiv created 2013/09/24 · openalex publication_date 2013/09/24 · arxiv updated 2013/09/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
As an alternative to downloading content from a cellular access network, mobile devices could be used to store data files and distribute them through device-to-device (D2D) communication. We consider a D2D-based storage community that is comprised of mobile users. Assuming that transmitting data from a base station to a mobile user consumes more energy than transmitting data between two mobile users, we show that it can be beneficial to use redundant storage to ensure that data files stay available to the community even if some of the storing users leave the network. We derive a tractable closed-form equation stating when redundancy should be used in order to minimize the expected energy consumption of data retrieval. We find that replication is the preferred method of adding redundancy as opposed to regenerating codes. Our findings are verified by computer simulations.