Titlebook: Cloud Computing and Security; Second International Xingming Sun,Alex Liu,Elisa Bertino Conference proceedings 2016 Springer International P

neurologist

https://doi.org/10.1007/978-3-030-85784-4 Electricity theft is not limited to the traditional methods, such as bypassing power lines. In Smart Grid, adversaries could gain illegal benefit from the utility via various new ways, and we call this class of behavior as Non-Technical Loss (NTL) fraud. In this paper, we study various security iss

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HUSH

Lynée Lewis Gaillet,Letizia Guglielmoroblem for load balancing with mobility-assisted features. In particular, we present a cluster-based network structure, in which sensor nodes are partitioned into layers according to transmission radius. Based on a distributed scheme for clustering and cluster heads, rendezvous points (RPs) are intr

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Introduction: Negotiating the Terrain,no monitoring. Harsh environments can easily cause the network to be unconnected, which lead to unable to collect data by multi-hops. The development of the Unmanned Aerial Vehicles (UAVs) makes it possible to collect data from ground sensor nodes by UAVs, and the UAV trajectory planning is necessar

Negligible

parallelism

捕鲸鱼叉

Compressive Sensing Based on Energy-Efficient Communicationf sensors. In this paper, a mixed idea has been proposed based on classification for actual environments. At its heart lies a simple yet effective thought that the number of transmission of bottom sensors by no-CS schemes is less than ones by CS. In experiments, our scheme has been proved valuable and feasible.

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Xingming Sun,Alex Liu,Elisa BertinoIncludes supplementary material:

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CROW

https://doi.org/10.1007/978-3-031-02299-9To energy-efficient communication, Compressive Sensing (CS) has been employed gradually. This paper proposes a data gathering scheme based on CS. The network is divided into several blocks and each block sends data to the sink for reconstruction. Experiments demonstrate that our algorithm is feasible and outperforms other schemes.