By Paolo Spagnolo, Pier Luigi Mazzeo, Cosimo Distante
ISBN-10: 3319108069
ISBN-13: 9783319108063
ISBN-10: 3319108077
ISBN-13: 9783319108070
This ebook offers a extensive assessment of either the technical demanding situations in sensor community improvement, and the real-world purposes of allotted sensing. vital elements of disbursed computing in large-scale networked sensor platforms are analyzed within the context of human habit figuring out, together with issues on structures layout instruments and strategies. also, the ebook examines a different diversity of functions. beneficial properties: includes precious contributions from a world choice of top specialists within the box; provides a high-level advent to the goals and motivations underpinning allotted sensing; describes decision-making algorithms within the presence of advanced sensor networks; offers a close research of the layout, implementation, and improvement of a allotted community of homogeneous or heterogeneous sensors; stories the applying of dispensed sensing to human habit knowing and self sufficient clever autos; encompasses a worthy word list and a listing of acronyms.
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Extra info for Human Behavior Understanding in Networked Sensing: Theory and Applications of Networks of Sensors
Sample text
Smart cameras are already benefiting from these developments by incorporating the newly available processing power to tackle more and more complex processing tasks locally leading to improved response times, more capable algorithms, lowered network traffic and enhanced overall system performance. Nowadays heterogeneity is key given the diversity of cameras that can be found in many large legacy networks. This capability will be needed for some time to come, as the renewal cycle for large camera networks is typically long due to the large costs involved in network, camera and analytics replacement.
8. The graphs show the sum of mean hop counts for put and get operations in each scenario. It is obvious that the qualitative reduction of the hop counts is similar in all optimizations and leads to reductions from 60 to 80 % of the initial values. The absolute hop counts increase proportionally to the number of nodes in the network. This is caused by the higher density of nodes which directly leads to longer shortest paths between two nodes in the connectivity graph. 5 Scenario 4: Different Query Rates After examining the consequences of different networks sizes given a fixed number of consuming algorithms, this experiment researches the optimization results for different numbers of consumers in a network with 30 nodes.
Last accessed June 2014 11. aspx. Last accessed June 2014 12. Melpignano D et al (2012) Platform 2012, a many-core computing accelerator for embedded SoCs: performance evaluation of visual analytics applications. In: Proceedings of design automation conference, San Francisco, June 2012, pp 1137–1142 13. 3v, 32b vliw dsp, embedding fmax tracking. In: Proceedings of solid-state circuits conference digest of technical papers, San Francisco, Feb 2014, pp 452–453 14. Meincke T et al (1999) Globally asynchronous locally synchronous architecture for large highperformance ASICs.