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Titlebook: Challenges and Opportunities of Connected k-Covered Wireless Sensor Networks; From Sensor Deployme Habib M. Ammari Book 2009 Springer-Verla

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發(fā)表于 2025-3-21 18:59:32 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Challenges and Opportunities of Connected k-Covered Wireless Sensor Networks
副標(biāo)題From Sensor Deployme
編輯Habib M. Ammari
視頻videohttp://file.papertrans.cn/224/223417/223417.mp4
概述Contains the latest research in the area of wireless sensor networks
叢書(shū)名稱Studies in Computational Intelligence
圖書(shū)封面Titlebook: Challenges and Opportunities of Connected k-Covered Wireless Sensor Networks; From Sensor Deployme Habib M. Ammari Book 2009 Springer-Verla
描述“The decomposition of the difficulties to be resolved, or the objects to be known, should be pushed up to the simplest elements … Such elements are seized directly and completely by the intuition. ” René Descartes, Discours de la méthode (1637) Wireless sensor networks have received significant attention because of their - portant role and many conveniences in our lives. Indeed, the recent and fast - vances in inexpensive sensor technology and wireless communications have made the design and development of large-scale wireless sensor networks cost-effective and appealing to a wide range of mission-critical situations, including civilian, natural, industrial, and military applications, such as health and environmental monitoring, seism monitoring, industrial process automation, and battlefields s- veillance, respectively. A wireless sensor network consists of a large number of - ny, low-powered devices, called sensors, which are randomly or deterministically deployed in a field of interest while collaborating and coordinating for the successful accomplishment of their mission. These sensors suffer from very scarce resources and capabilities, such as bandwidth, storage, CPU, battery
出版日期Book 2009
關(guān)鍵詞Energy-Efficiency; Extension; Routing; Sensor Networks; computational intelligence; geometry; intelligence
版次1
doihttps://doi.org/10.1007/978-3-642-01878-7
isbn_softcover978-3-642-26929-5
isbn_ebook978-3-642-01878-7Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2009
The information of publication is updating

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發(fā)表于 2025-3-21 23:48:22 | 只看該作者
Background and Fundamentalsit gives some key definitions and describes a percolation model to study coverage and connectivity in two-dimensional and three-dimensional wireless sensor networks. In addition, it presents an energy consumption model and defines the default network model.
板凳
發(fā)表于 2025-3-22 04:02:08 | 只看該作者
Phase Transitions in Coverage and Connectivity in Two-Dimensional Deployment Fieldsolation theory. Specifically, it focuses on finding the critical sensor density above which the network is . connected and the deployment field is . covered. It proposes our solution to this problem using a probabilistic approach. Precisely, each of the above problems is discussed separately. Then,
地板
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5#
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Heterogeneous and Mobile Connected ,-Coverage in Two-Dimensional Deployment Fieldsrs do not necessarily have the same capabilities. Also, it discusses our solution to the same problem in mission-oriented mobile wireless sensor networks, which are deployed in two-dimensional fields that could have more than one monitoring task, i.e. mission, to be accomplished. Specifically, it fo
7#
發(fā)表于 2025-3-22 17:44:28 | 只看該作者
Two-Dimensional Stochastic Connected ,–Coverage and Three-Dimensional Connected ,–Coveragec sensing model instead of a deterministic sensing model. Moreover, it investigates the problem of connected .-coverage in homogeneous three-dimensional wireless sensor networks while considering a deterministic sensing model. Both studies are generalizations of the work described earlier in Chap. 5
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發(fā)表于 2025-3-23 01:01:41 | 只看該作者
Network Connectivity and Fault-Tolerance Measures in Two-Dimensional Deployment Fieldseasures are more realistic than the former as they impose a restriction on the subsets of sensors that can fail at the same time. Precisely, conditional measures take into consideration the inherent properties of .-covered wireless sensor networks, such as high sensor density and sensor heterogeneit
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發(fā)表于 2025-3-23 01:25:50 | 只看該作者
Geographic Forwarding on Always-On Sensorss-on wireless sensor networks, where the sensors are active all the time. Specifically, it investigates both short-range and long-range data forwarding schemes on always-on sensors and provides several theoretical and simulation results. It shows that short-range data forwarding scheme is more appro
10#
發(fā)表于 2025-3-23 09:34:52 | 只看該作者
Trade-Off between Energy and Delay in Geographic Forwarding on Always-On Sensorslps achieve minimum energy consumption while ensuring uniform battery power depletion of the sensors and meeting the required delay constraints in the sense that data gathering points must receive the sensed data within a specified time bound. Given that these are conflicting goals, this trade-off i
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