Titlebook: Distributed Computing in Sensor Systems; 6th IEEE Internation Rajmohan Rajaraman,Thomas Moscibroda,Anna Scaglion Conference proceedings 201

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书目名称Distributed Computing in Sensor Systems影响因子(影响力)




书目名称Distributed Computing in Sensor Systems影响因子(影响力)学科排名




书目名称Distributed Computing in Sensor Systems网络公开度




书目名称Distributed Computing in Sensor Systems网络公开度学科排名




书目名称Distributed Computing in Sensor Systems被引频次




书目名称Distributed Computing in Sensor Systems被引频次学科排名




书目名称Distributed Computing in Sensor Systems年度引用




书目名称Distributed Computing in Sensor Systems年度引用学科排名




书目名称Distributed Computing in Sensor Systems读者反馈




书目名称Distributed Computing in Sensor Systems读者反馈学科排名

cajole

Optimized Java Binary and Virtual Machine for Tiny Motes,mory and processing power from the host device. This has been verified by successfully running TakaTuka on four different mote platforms. The focus of this paper is TakaTuka’s optimization of program memory usage. In addition, it also gives an overview of TakaTuka’s linkage with TinyOS and power man

土产

Mumble

Programming Sensor Networks Using , Component Model, code reusability, and required software development effort. Component-based programming has been recognized as an effective approach to meet such requirements. Most of componentization efforts in WSNs were ineffective due to various reasons, such as high resource demand or limited scope of use. In

refraction

Stateful Mobile Modules for Sensor Networks,in-network processing has been proposed as a means to reduce data transfers. As application demands may change over time and nodes run low on energy, get overloaded, or simply face debasing communication capabilities, runtime adaptation is required. In either case, it is useful to be able to migrate

恶名声

恶名声

Control Theoretic Sensor Deployment Approach for Data Fusion Based Detection, study the problem of determining the positions at which a fixed number of sensors can be deployed in order to minimize the squared error (SE) between achieved and required detection probabilities while satisfying false alarm requirements. We show that this deployment problem can be modeled as a lin

溃烂

受伤

Thermal-Aware Sensor Scheduling for Distributed Estimation,d development of thermal management policies for stand-alone processors and on distributed power management, there is an overall lack of research on thermal management policies and their tradeoffs in sensor networks where sensors can overheat due to excessive sampling. Our primary focus in this pape

dermatomyositis