For the current opportunistic networks routing algorithms, their message arrival rate is not high and the delivery delay is large. This paper proposes a domain-epidemic spray and forward routing algorithm. The algorit...
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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.
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.
In this paper, we explore network architecture anal key technologies 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 key technologies 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.
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.
Traditional information hiding algorithms cannot maintain a good balance of capacity,invisibility and *** this paper,a novel blind colour image information hiding algorithm based on grey prediction and grey relational...
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Traditional information hiding algorithms cannot maintain a good balance of capacity,invisibility and *** this paper,a novel blind colour image information hiding algorithm based on grey prediction and grey relational analysis in the Discrete Cosine Transform(DCT) domain is ***,this algorithm compresses the secret image losslessly based on the improved grey prediction GM(1,1)(IGM) *** then chooses the blocks of rich texture in the cover image as the embedding regions using Double-dimension Grey Relational Analysis(DGRA).Finally,it adaptively embeds the compressed secret bits stream into the DCT domain mid-frequency coefficients,which are decided by those blocks' Double-Dimension Grey Correlation Degree(DGCD) and Human Visual System(HVS).This method can ensure an adequate balance between invisibility,capacity and *** results show that the proposed algorithm is robust against JPEG compression(46.724 6 dB when the compression quality factor is 90%),Gaussian noise(45.531 3 dB when the parameter is(0,0.000 5)) etc.,and it is a blind information hiding algorithm that can be extracted without an original carrier.
In order to find the service nodes, which the users are satisfied with, in a high speed and efficiency in open network environment, a new grid-oriented multi-level service selection model is proposed, which is based o...
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wirelesscommunication system plays a more and more important role in many fields. wirelessnetwork using traditional AODV algorithm only considers the minimal hop of all routes and can not meet specific QoS requireme...
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wireless senor networks have more and more applications while fundamental constraint still exists, such as limited power supply and bandwidth. When the sensing signal exhibits spare, we can sampling only a part of sig...
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The routing optimized problem in HAPs-Satellite integrated network is focused on this paper. A novel routing algorithm(AR-HS) based on the swarm intelligence by changing the pheromone updating strategy is proposed. In...
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