دانلود رایگان مقاله انتخاب بهینه مکان تجمع توسط سیستم سایبری فیزیکی سیار

Abstract

Mobile cyber-physical systems entail large volumes of data collected by various sensors and cameras embedded in vehicles and mobile devices. Participatory sensing is a model widely encouraged by cyber-physical systems (CPS) to provide a smart knowledge base to consumers using various sensed data contributed by voluntary participants. Aggregation is a viable approach to convert the sensed data into a usable form. An efficient way to perform aggregation is to divide the network into a number of geographical regions, called aggregation regions. In this paper, we propose a novel mechanism to determine aggregation regions based on the location of Access Points (APs). Besides, we propose a strategy to determine the optimal location of aggregation that minimizes the delay of dissemination of sensed data.

5. Conclusion

Participatory sensing by mobile cyber-physical systems such as vehicles, mobile devices and smartphones is increasingly popular as the sensors and cameras embedded in these systems grow in number and sophistication. In order to produce meaningful data, aggregation is a viable approach to create localized reports or sum- maries. An efficient way to perform in-network aggregation is to divide the network into a number of geographical regions, called aggregation regions. In this paper, we propose a novel mechanism to construct aggregation regions based on the location of APs. Besides, we estimate the delay of packet transmission along a road segment considering hop-count and connectivity. The location of aggregation impacts the delay of receiving sensed data from the participants as well as the delay of disseminating the aggregated information to APs. Hence, we propose a scheme to determine the optimal location of aggregation that minimizes the estimated delay with minimal overlap in paths among different aggregation 986 regions. Our future endeavours include use of content-centric network- ing to develop a data retrieval mechanism for mobile cyber- physical systems.