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Titlebook: Low-Power Wireless Sensor Networks; Protocols, Services Jukka Suhonen,Mikko Kohvakka,Marko Hännikäinen Book 2012 The Author(s) 2012 energy

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发表于 2025-3-21 19:42:59 | 显示全部楼层 |阅读模式
书目名称Low-Power Wireless Sensor Networks
副标题Protocols, Services
编辑Jukka Suhonen,Mikko Kohvakka,Marko Hännikäinen
视频video
概述Includes supplementary material:
丛书名称SpringerBriefs in Electrical and Computer Engineering
图书封面Titlebook: Low-Power Wireless Sensor Networks; Protocols, Services  Jukka Suhonen,Mikko Kohvakka,Marko Hännikäinen Book 2012 The Author(s) 2012 energy
描述.Wireless sensor network (WSN) is an ad-hoc network technology comprising even thousands of autonomic and self-organizing nodes that combine environmental sensing, data processing, and wireless networking. The applications for sensor networks range from home and industrial environments to military uses. Unlike the traditional computer networks, a WSN is application-oriented and deployed for a specific task. WSNs are data centric, which means that messages are not send to individual nodes but to geographical locations or regions based on the data content. A WSN node is typically battery powered and characterized by extremely small size and low cost. .As a result, the processing power, memory, and energy resources of an individual sensor node are limited. However, the feasibility of a WSN lies on the collaboration between the nodes. A reference WSN node comprises a Micro-Controller Unit (MCU) having few Million Instructions Per Second (MIPS) processing speed, tens of kilobytes program memory, few kilobytes data memory. In addition, the node contains a short-range radio, and a set of sensors. Supply power is typically obtained with small batteries. Assuming a target lifetime of one ye
出版日期Book 2012
关键词energy-efficient protocols; low power sensing; sensor network services; wireless sensor networks
版次1
doihttps://doi.org/10.1007/978-1-4614-2173-3
isbn_softcover978-1-4614-2172-6
isbn_ebook978-1-4614-2173-3Series ISSN 2191-8112 Series E-ISSN 2191-8120
issn_series 2191-8112
copyrightThe Author(s) 2012
The information of publication is updating

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Jukka Suhonen,Mikko Kohvakka,Ville Kaseva,Timo D. Hämäläinen,Marko Hännikäinenversality front, Tesson and Therien(2001) have already shown that . cannot be computed by programs over .. We strengthen this in two ways. Firstly, we show that programs over . cannot accept any subset of . or . of size .. Secondly, we generalize the model of programs to allow parity queries to the
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Jukka Suhonen,Mikko Kohvakka,Ville Kaseva,Timo D. Hämäläinen,Marko Hännikäinenpossible to reduce in several cases the effective cost of projection. The idea is twofold. First, our structure allows to apply projection to only a part of an automaton, in cases where a full computation is not necessary. Second, the structure is able to store the results of past projection operati
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Jukka Suhonen,Mikko Kohvakka,Ville Kaseva,Timo D. Hämäläinen,Marko Hännikäinena should no longer be considered to be reversible in a physical sense. Note that the same two-layered block representation result applies also over infinite configurations, as was previously shown for one-dimensional systems in the more elaborate formalism of operators algebras [13]. Here the proof
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Jukka Suhonen,Mikko Kohvakka,Ville Kaseva,Timo D. Hämäläinen,Marko Hännikäinenzed together, and have been solved by similar methods. The state complexities of regular operations in subclasses of convex languages have been examined together, with considerable economies of effort. This paper surveys the recent results on convex languages with an emphasis on complexity issues.
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