By Hai Zhuge, Xiang Li (auth.), Hai Jin, Omer F. Rana, Yi Pan, Viktor K. Prasanna (eds.)
Parallel and allotted computing within the Nineteen Eighties and Nineties had nice in?uence onapplication developmentin technology, engineering andbusiness computing. The advancements in computation and conversation functions have enabled the construction of not easy functions in serious domain names resembling the surroundings, healthiness, aerospace, and different parts of technology and know-how. equally, new classesofapplicationsareenabledbytheavailabilityofheterogeneouslarge-scale dispensed structures that are turning into to be had these days (based on techno- giessuchasgridandpeer-to-peersystems).Parallelcomputingsystemsexploita huge range of laptop architectures, from supercomputers, shared-memory or distributed-memory multi processors, to neighborhood networks and clusters of p- sonal desktops. With the new emergence of multi center architectures, parallel computing is now set to accomplish “mainstream” prestige. methods which have been endorsed by means of parallelcomputing researchersin the prior are actually being used in a few software program libraries and platforms which are to be had for daily use. Parallel computing principles have additionally come to dominate components reminiscent of multi person gaming (especially within the improvement of gaming engines according to “cell” arc- tectures) – usually overlooked through many “serious” researchers some time past, yet which now are set to have a becoming person base of thousands and thousands the world over. lately, concentration has additionally shifted to aid strength e?ciency in com- tation, with a few researchers featuring a brand new metric of functionality in keeping with Flops/Watt.
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Extra info for Algorithms and Architectures for Parallel Processing: 7th International Conference, ICA3PP 2007, Hangzhou, China, June 11-14, 2007. Proceedings
As mentioned above, the sensor nodes need to measure the speed of the vehicle so that they can detect potential collisions. Therefore, each sensor node should be active when a vehicle passes it. During the rest of the time, they should be kept in sleep mode. Here, we propose a couple of schemes that can be combined to achieve a good trade-off between accuracy and energy efficiency. 44 Y. Lai, Y. Zheng, and J. Cao 1. 2. 3. 4. 5. Always-on: This is the simplest scheme where all of the sensor nodes are active at all the time.
4. 5. 6. Multi-mode of 3G & GSM & WiFi for wireless Access: In 3G mode, the IMN acts as exactly a 3G IMN set, with standard 3G TDMA air interfaces support. In GSM mode, IMN acts as a GSM IMN set exactly, with standard GSM TDMA air interfaces whereas in the WiFi mode, the IMN acts as a SIP UA (or a SIP soft IMN). IMNs WiFi network calls 3G IMN: When an IMN in WiFi calls a 3G IMN, it must check the called network type and then select the corresponding multimedia transmission protocols and then the call can be set up.
Overview of traffic management system Fig. 2. Software architecture of TrafficDetection are part of the TrafficDetection component. The architecture of TrafficDetection component and its relationship with TrafficView is shown in Figure 2. TrafficDetection consists of several modules. The Data Collection and Filtering Module is mainly responsible for collecting raw data and filter the unwanted noise on each sensor node. The processed information will be used as input to the traffic safety protocol for the system to make necessary decision if there is any potential collision.