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"Maximizing Flow Rates in Multi-Hop Two-Tier IoT Networks with Ambient " by Muchen Jiang, Kwan Wu Chin et al.

This paper considers routing and link scheduling in a two-tier wireless Internet of Things (IoT) network. The first tier consists of routers that communicate via active Radio Frequency (RF) transmissions. The second tier consists of passive tags that backscatter ambient RF signals from routers. Our objective is to maximize the network throughput at both tiers. To this end, we outline a Mixed Integer Linear Program (MILP) that jointly optimizes the active time of RF links and backscatter links, and traffic over links. We also present a heuristic called Algorithm-Transmission-Set-Generator (ALGO-TSG) to compute transmission sets. Moreover, we also outline a heuristic called Centralized Max-Flow (CMF) to maximize network throughput by jointly considering routing and link scheduling. The results show that (i) the network throughput achieved by ALGO-TSG at both tiers is 29.80% higher as compared to the case without backscattering, and, (ii) the throughput of CMF is on average 21.36% lower t ....

Integer Linear Program , Radio Frequency , Mixed Integer Linear Program , Centralized Max Flow , Low Rates Maximization , Nternet Of Things , Multiple Access , Radio Frequency , Pread Spectrum Communication , Ag To Tag Communications ,

"A novel routing protocol based on grey wolf optimization and Q learnin" by Pradeep Bedi, Sanjoy Das et al.

Recently, Wireless Body Area Networks (WBAN) have been developed to advance Internet-of-Things (IoT) that play an essential role in biomedical applications. While deploying these applications practically, there may arise associated issues. Among all the available problems, the primary concern is energy utilization among these resource-limited sensors during data communication. These sensors continuously sense the signal and send messages to other nodes. There is a need to optimize the energy utilization in WBAN. This paper proposes a cluster-based routing protocol for WBAN with the benefits of machine learning to predict energy wastage. A Modified Grey Wolf Optimization with Q-Learning (MGWOQL) is proposed for cluster head selection and updating. The proposed protocol used different objective functions to minimize the energy utilization of clusters by selecting the optimal cluster head (CH). The simulation was performed on the MATLAB platform under different conditions. The result anal ....

Wireless Body Area Networks , Modified Grey Wolf Optimization , Energy Efficiency , Grey Wolf Optimizer , Machine Learning , Q Learning , Ireless Body Area Network Wban ,

Sony launches BRAVIA XR MASTER Series A95K OLED TV powered with XR cognitive processor for immersive sound and ultimate cinematic experience

New Delhi [India], September 5 (ANI/NewsVoir): Sony India today announced the new BRAVIA XR MASTER Series A95K OLED powered by the Cognitive Processor XR with new OLED panel. This award-winning OLED TV introduces new and improved technology that help deliver the best and most immersive viewing experiences, authentically delivering the creator's true intent. The ingenious Cognitive Processor XR processor thinks like a human brain offering a complete immersion in an experience that thrills and moves you and feels just like the world around us. In addition to best-in-class, ultra-realistic picture quality, full of lifelike contrast, the new Cognitive Processor XR also includes new features that customise and enhance at-home entertainment. Next Gen Cognitive Processor XR thinks like a human brain providing a revolutionary experience that completely immerses viewers in their favourite content The new BRAVIA XR MASTER Series A95K OLED is currently available in only one screen size 164 cm ....

New Delhi , Triluminos Max , Sony Centers , Sony Corporation , Sony India , Cognitive Processor , Variable Refresh Rate , Auto Low Latency Mode , Auto Game , Auto Game Mode , Game Mode , Standard Mode , Award Winning , Pure Stream , Innovation Awards Honoree , Ambient Optimisation , Dolby Vision , Dolby Atmos , Netflix Adaptive Calibrated , High Dynamic Range , Netflix Adaptive Calibrated Mode , Acoustic Surface , Apple Airplay , Google Search , Home Kit , One Slate ,

Gurobi Optimization, LLC: Gurobi Helps Software Companies Successfully Integrate Optimization Into Their Solutions

Explore the industry-leading optimization firm's 36-month accelerator program. Gurobi Optimization, LLC, creator of the world's fastest mathematical optimization solver, has launched a new program ....

Kostenloser Wertpapierhandel , Nell Marie Colman , Jan Schwarzkopf , Access To Gurobi Technology Solution , Gurobi Partner Accelerator Program , Air France , Gurobi Optimization , National Football League , Gurobi Partner Accelerator , Gurobi Account Manager Europe , Technology Solution , Marketing Support The , Business Strategy Gurobi , Marie Colman ,

Laser-enhanced contact optimization improves TOPCon solar cell performance by 0.6%

Scientists in Germany have improved the efficiency of an industrial TOPCon solar cell from 23.8% to 24.1% by using laser-enhanced contact optimization as a post-firing treatment.Researchers from Germany's ....

Kostenloser Wertpapierhandel , Germany Fraunhofer Institute For Solar Energy Systems , Fraunhofer Institute , Solar Energy Systems , Cell Engineering Gmbh ,