For effective and efficient detection of moving objects from complex surveillance scenarios, a novel integrated object detection scheme based on clustering and Bayesian theory is proposed in this paper. The algorithm ...
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Because many signals are correlated over temporal domain, this paper proposes a compressive fault telorance network coding scheme for exploring the temporal correlation of signals. This scheme overcomes the drawbacks ...
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Nonparametric model is one of the popular ones for background modeling for its ability to adapt to changes quickly in dynamic environment and enable very sensitive detection of moving objects. However, the method is t...
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Online/offline signature schemes allow one to quickly compute a digital signature from a precomputed coupon. In this paper, we present an ID-based online/offline signature for wirelesssensornetworks (WSNs), which is...
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In order to reduce network energy consumption and prolong the lifetime of wirelesssensornetworks, this paper improves the LEACH to an energy efficient multi-hop routing algorithm. LEACH in the cluster creation, data...
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Graphical models have been widely applied in solving distributed inference problems in wirelesssensornetworks (WSNs). In this paper, we formulate the distributed multi-sensor tracking problem in a WSN as an inferenc...
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Graphical models have been widely applied in solving distributed inference problems in wirelesssensornetworks (WSNs). In this paper, we formulate the distributed multi-sensor tracking problem in a WSN as an inference problem on a factor graph. Using particle filtering methods, we propose a nonparametric variant of sum-product algorithm (SPA), called sequential particle-based SPA (SPSPA), for factor graphs to infer the multi-sensor target states over time. In the proposed algorithm, importance sampling methods are used to sample from message products, and the computational complexity of SPSPA is thus linear in the number of particles. We apply the SPSPA to a distributed multi-sensor tracking problem, and evaluate its performance in terms of the measurement noise and the number of particles.
This paper presents an Mobile Agent based Coding Aware Routing (MA-CAMR) for wirelesssensornetwork, which exploits mobile agent to discovery the routing and coding opportunities, reducing complexity of node design. ...
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It is necessary for a server oriented to the Internet of Things(IOT) applications to provide countless connections with efficient andreliable *** the communication layer should try to lower the *** a highly efficient ...
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ISBN:
(纸本)9781467356985
It is necessary for a server oriented to the Internet of Things(IOT) applications to provide countless connections with efficient andreliable *** the communication layer should try to lower the *** a highly efficient design for a socket server with buffer pool and a thread pool for concurrent request on the IOT platform is *** reduces the system overhead and buffer usage to the largest extent while faced with a large number of connections and digital *** simulation shows that a socket server with a thread pool and buffer pool could lower the overhead on the context switch of threads as well as the I/O *** creates and destroys threads so as to energize the system.
Graphical models have been widely applied in solving distributed inference problems in wirelesssensornetworks (WSNs). In this paper, we formulate the sensor self-localization problem in a WSN as an inference problem...
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Graphical models have been widely applied in solving distributed inference problems in wirelesssensornetworks (WSNs). In this paper, we formulate the sensor self-localization problem in a WSN as an inference problem on a factor graph. Using a sequential schedule of message updates, a sequential uniformly reweighted sum-product algorithm (SURW-SPA) is developed for self-localization problems. The proposed algorithm combines the distributed nature of belief propagation (BP) with the improved performance of sequential tree-reweighted message passing (TRW-S) algorithm. We apply the SURW-SPA to sensor self-localization in large-scale static networks, and evaluate its performance in terms of localization accuracy and convergence speed.
In this paper, we explore network architecture anal keytechnologies for content-centric networking (CCN), an emerging networking technology in the big-data era. We descrihe the structure anti operation mechanism of...
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In this paper, we explore network architecture anal keytechnologies for content-centric networking (CCN), an emerging networking technology in the big-data era. We descrihe the structure anti operation mechanism of tl CCN node. Then we discuss mobility management, routing strategy, and caching policy in CCN. For better network performance, we propose a probability cache replacement policy that is based on cotent popularity. We also propose and evaluate a probability cache with evicted copy-up decision policy.
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