Hardware Platform for the Energy efficient GPS sensing with Cloud Offloading

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Loca­tion is a fun­da­men­tal ser­vice for mobile com­put­ing. Typ­i­cal GPS receivers, although wide­ly avail­able, con­sume too much ener­gy to be use­ful for many appli­ca­tions. Observ­ing that in many sens­ing sce­nar­ios, the loca­tion infor­ma­tion can be post-processed when the data is uploaded to a serv­er, we design a Cloud-Offloaded GPS (CO-GPS) solu­tion that allows a sens­ing device to aggres­sive­ly duty-cycle its GPS receiv­er and log just enough raw GPS sig­nal for post­pro­cess­ing. Lever­ag­ing pub­licly avail­able infor­ma­tion such as GNSS satel­lite ephemeris and an Earth ele­va­tion data­base, a cloud ser­vice can derive good qual­i­ty GPS loca­tions from a few mil­lisec­onds of raw data. Using our design of a portable sens­ing device plat­form called CLEO, we eval­u­ate the accu­ra­cy and effi­cien­cy of the solu­tion. Com­pared to more than 30 sec­onds of heavy sig­nal pro­cess­ing on stand­alone GPS receivers, we can achieve three orders of mag­ni­tude low­er ener­gy con­sump­tion per loca­tion tag­ging.
  1. Jie Liu, Bod­hi Priyan­tha, Ted Hart, Yuzhe Jin, Woo Suk Lee, Heitor S. Ramos, Anto­nio A.F. Loureiro Qiang Wang, and Vijay Raghu­nathan, “Ener­gy Effi­cient GPS Sens­ing with Cloud Offload­ing,” IEEE Trans­ac­tion on Mobile Com­put­ing (TMC), Vol. 15, Issue 6, pp. 1348–1361, June 2016.
  2. Woo Suk Lee, Bod­hi Priyan­tha, Ted Hart, Ger­ald DeJean, Yan Xu, and Jie Liu, “Demo Abstract: The CLEO mobile sens­ing plat­form,” demo in the 10th ACM inter­na­tion­al con­fer­ence on embed­ded net­worked sen­sor sys­tems (Sen­Sys 2012), pp.371–372, Toron­to, CA, USA, Nov 2012.
    (This is a demo ver­sion of Sen­Sys 2012 ‘Best Paper’ named “Ener­gy-Effi­cient GPS Sens­ing with Cloud Offload­ing”)