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학술지 Random Deployment of Data Collectors for Serving Randomly-Located Sensors
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저자
권태수, John M. Cioff
발행일
201306
출처
IEEE Transactions on Wireless Communications, v.12 no.6, pp.2556-2565
ISSN
1536-1276
출판사
IEEE
DOI
https://dx.doi.org/10.1109/TWC.2013.040413.111191
협약과제
13PI2600, 사용자 중심 5G 이동형 개인셀 원천 기술 개발, 박애순
초록
Recently, wireless communication industries have begun to extend their services to machine-type communication devices as well as to user equipments. Such machine-type communication devices as meters and sensors need intermittent uplink resources to report measured or sensed data to their serving data collector. It is however hard to dedicate limited uplink resources to each of them. Thus, efficient service of a tremendous number of devices with low activities may consider simple random access as a solution. The data collectors receiving the measured data from many sensors simultaneously can successfully decode only signals with signal-to-interference-plus-noise-ratio (SINR) above a certain value. The main design issues for this environment become how many data collectors are needed, how much power sensor nodes transmit with, and how wireless channels affect the performance. This paper provides answers to those questions through a stochastic analysis based on a spatial point process and on simulations. © 2002-2012 IEEE.
키워드
M2M, network design, outage probability, Poisson point process, spatial reuse, stochastic geometry
KSP 제안 키워드
Communication device, Data Collector, Design issues, Machine-type-communication(MTC), Outage probability(OP), Poisson Point Process(PPP), Power sensor, Random Access, Sensor node, Spatial point, Stochastic geometry