Titlebook: Eco-friendly Computing and Communication Systems; International Confer Jimson Mathew,Priyadarshan Patra,A. J. Kuttyamma Conference proceedi

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enflame

Compiler Efficient and Power Aware Instruction Level Parallelism for Multicore Architectureism. The work in this paper proposes an algorithm to group dependent instructions of a basic block of control flow graph into disjoint sub-blocks during the SSA form translation. Following this an algorithm is presented which constructs a graph tracking dependencies among the sub-blocks spread all o

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NAV

Evaluation of WSN Protocols on a Novel PSoC-Based Sensor Networke sensor nodes (that integrate sensors, micro-processor/controller, memory and peripherals) are often used to design and deploy sensor networks. In this work, authors describe a sensor network built using PSoC (Programmable System-on-Chip) from Cypress Semiconductor. The advantage of PSoC is that it

SPURN

Improving Lifetime of Structured Deployed Wireless Sensor Network Using Sleepy Algorithmmeasure the surrounding environment Wireless sensor networks are designed with energy constraint. More often Wireless Sensor Networks are deployed in harsh environments where failure of sensor nodes and disruption of connectivity are regular phenomena. Energy efficiency remains the main concern to a

发芽

Affection

Economic Analysis of a Biomass/PV/Diesel Autonomous Power Plant of Tripura, together with an economic analysis and environmental considerations for the project life cycle. The simulation results indicate that the renewable fraction is 0.62 for the hybrid system composed of 15 kW PV, 7 kW biomass gasifier, 8 kW diesel system with battery storage. The cost of ene

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Minimizing Energy of Scalable Distributed Least Squares Localizationrch in Sensor Networks is location estimation. Distributed Least Squares (DLS) algorithm is a good solution for fine grained localization. Here localization process is split into a complex precalculation and a simple postcalculation process. This paper presents a revised version of DLS, i.e. minimiz