Titlebook: Distributed Computing in Sensor Systems; Second IEEE Internat Phillip B. Gibbons,Tarek Abdelzaher,Ramesh Rao Conference proceedings 2006 Sp

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書目名稱Distributed Computing in Sensor Systems影響因子(影響力)




書目名稱Distributed Computing in Sensor Systems影響因子(影響力)學(xué)科排名




書目名稱Distributed Computing in Sensor Systems網(wǎng)絡(luò)公開度




書目名稱Distributed Computing in Sensor Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Distributed Computing in Sensor Systems被引頻次




書目名稱Distributed Computing in Sensor Systems被引頻次學(xué)科排名




書目名稱Distributed Computing in Sensor Systems年度引用




書目名稱Distributed Computing in Sensor Systems年度引用學(xué)科排名




書目名稱Distributed Computing in Sensor Systems讀者反饋




書目名稱Distributed Computing in Sensor Systems讀者反饋學(xué)科排名

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ZEST

https://doi.org/10.1007/11776178ad-hoc networks; algorithm; algorithms; distributed computing; distributed systems; fault tolerance; infor

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閑逛

epicondylitis

C. Paul Bonnington,Charles H. C. LittleThe dynamism of the environment necessitates the mobile entity to constantly maintain a high degree of awareness of the changing environment. This criteria makes it difficult to achieve good navigation performance by using just on-board sensors and existing navigation methods and motivates the use o

epicondylitis

拾落穗

Early Electricity and Magnetism,ctably and have pairwise interactions. The ability of such systems to compute functions on a multiset of inputs that are initially distributed across all of the agents has been studied in the absence of failures. Here, we show that essentially the same set of functions can be computed in the presenc

長(zhǎng)處

Christopher Howe,Kenneth R. Walkers often maintain caches for erratically changing sensor sources. Stochastic consistency guarantees the cache-source deviation is within a pre-specified bound with a certain confidence level. We model the erratic sources as Brownian motions, and adaptively . the next cache update time based on the mo

Nibble

Christopher Howe,Kenneth R. Walkeredded devices such as sensor nodes to monitor physical phenomena with greater flexibility. A large number of sensor nodes, communicating over the wireless medium, also allows information gathering with greater accuracy than current systems. This paper presents a new stochastic technique known as . f