... the destination in cooperative multiple- terminal wireless networks, i.e., finding a rate-maximizing route, through relays, for a source-destination pair In multiple- terminal wireless networks, ... cooperative routing and coding for multiple- terminal networks through an information-theoretic 1.1 Cooperation in Multiple- Terminal Wireless Networks appro...
... original data segments, and we refer to it as Cooperative Coding and Caching (C ); compre for example Network Coding (NC) and no coding at all (Non-NC ) 3.1 Overview of Cooperative Coding and Caching ... the caching data management This paper takes advantages of coding to facilitate the caching management for streaming data in multihop wireless...
... and W Zhang, “Interference-aware topology control and QoS routing in multi -channel wireless mesh networks,” in Proceedings of the 6th ACM International Symposium on Mobile Ad Hoc Networking and ... p in (7), ain p aimq in (10) and (11), and ain p ,mq un p ,mq in (20) are nonlinear Even relaxing the binary constraints of (3) and (14), the problem is still noncon...
... Impact of Vehicular Mobility Models on Bypass-AODV Vehicular mobility models, FRW and MAN, are adopted to evaluate the performance of Bypass-AODV and then to compare it with AODV Initially, the ... the impact of each mobility model on the performance of the Bypass-AODV as well as the original AODV (1) The routing overhead ratio is the rat...
... “Polarization Division Multiple Access With Polarization Modulation for LOS Wireless Communications by Bin Cao, Qin-Yu Zhang, and Lin Jin discusses a potential multiple access and modulation ... Multiple access communications in future-generation wireless networks Norman Abramson1, Claudio Sacchi2, Boris Bellalta*3 and Alexey Vinel4 Department of Electrical Engineering,...
... first to explore in this direction and they proposed to implement encryption in entropy coding In standard entropy coding, only one statistical model (though it may adapt to varying input statistics) ... a random cyclic rotation in each block The joint REC/RPB encryption paradigm is illustrated in Figure The box “compression before entropy coding represents all op...
... presented a distributed and cooperative link scheduling (DCLS) algorithm which is especially useful for large-scale multihop wireless networks This algorithm partitions a set of links into several ... Cruz, and L B Milstein, Distributed link scheduling, power control and routing for multihop wireless MIMO networks,” in Proceedings of the Fortieth Asilomar Confe...
... first to explore in this direction and they proposed to implement encryption in entropy coding In standard entropy coding, only one statistical model (though it may adapt to varying input statistics) ... a random cyclic rotation in each block The joint REC/RPB encryption paradigm is illustrated in Figure The box “compression before entropy coding represents all op...
... However, in many applications, the sensors are deployed randomly in and around the ROI, and oftentimes some of them are out of the communication range of the fusion center, malfunctioning, or out of ... capabilities Each cluster is in charge of the surveillance of a subregion of the whole ROI, as shown in Figure Instead of transmitting data to a faraway centr...
... al.: More expressions of BDNF and TrkB in multiple hepatocellular carcinoma and anti -BDNF or K252a induced apoptosis, supressed invasion of HepG2 and HCCLM3 cells Journal of Experimental & Clinical ... neutralizing antibody specific for BDNF or Trk tyrosine kinase inhibitor K252a against TrkB probably antagonized the protection of BDNF/...
... recent papers dealt with the optimal placement of sink nodes in multiple sink sensor networks [10] but not deal directly with routing issues One of the earliest cluster-based routing algorithms is ... Figure A Sensor Network with Multiple Sink Nodes Every sensor s initial energy is Einit and its residual energy is ERE The path is defined as {V1, V2, ……,Vi,...
... Brain-Inspired Spiking Neural Network Model with Temporal Encoding and Learning Neural coding and learning are important components in cognitive memory systems, by processing the sensory inputs and ... build a bio-inspired model of SNNs containing encoding, learning and readout Neural coding and learning are the main considerations in this chapter, since th...
... methods combining burst fragmentation, load balancing and time slotting was presented to minimize the burst loss and achieve fairness A scheduling algorithm combining time-slotting and fragmentation ... all void intervals (including the interval between the end time of the last burst and +∞) This scheduling algorithm tries to minimize the starting void by assigning an incoming d...
... model design The facts Having too many input variables in the regression model ⇒ an overfitting regression function with an inflated variance Having too few input variables in the regression ... 𝕐 linear vs nonlinear, parametric vs nonparametric Linear combination of the parameters (but need not be linear in the independent variables) 17 Introduction Model sel...