An Estimation Algorithm for Missing Data in Wireless Sensor Networks

Yan, Nan; Ming-zheng, Zhou; Li, Tong

doi:10.21307/ijssis-2017-578

Cited by 2 publications

(1 citation statement)

References 23 publications

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“…In datum mining: In light of the mining multi-dimension and multi-lever association rule WangDexin of Hefei University of Technology applied the Hasse diagram based on quantitative extended concept lattice to find a suitable generalized routing and threshold values and obtained a reasonable requirements satisfied attribute inductive results. In target tracking: ZhouYan [9] of Shanghai Jiaotong University applied the state estimation algorithm based on the quantification of observation to track the objective in the wireless sensor network, which has been proved to be more precise by experiments. In multicast routing: LuJun [10] researched on quantified cost-balanced routing for streaming medium overlay multicast, but no applying quantification of measurements strategies has been reported.…”

Section: Introductionmentioning

confidence: 99%

Quantization Strategies of RFID Routing in Internet of Things

Huang²,

Yang

2012

AMM

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This paper researches wireless RFID routings in Internet of Things based on the idea of quantization. The researches include the obtaining of routing contexts, the measurement of contexts in evaluating the performance of routing, methods for controlling the quantification of contexts, the realization of a perceptive computational model, the mergence of the security policies. Its goal is to construct a precise lightweight and perceptive model of wireless RFID routing protocols in Internet of Things, and to lay a foundation for accelerating the developments in Internet of Things.

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Section: Introductionmentioning

confidence: 99%