2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)
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Abstract

Vehicular Ad-Hoc Networks are a special type of Ad-Hoc network that supports communication between highly mobile vehicles and stationary Roadside Units or base stations. As the demand for more bandwidth increases with the introduction of autonomous vehicles and Multi-Media entertainment, the network size must scale to accommodate the demand. However, when deploying any additional networking resources, energy consumption should be taken into account. Existing works target routing as a means to reduce the energy consumed in end-to-end communications, but little work has been directed towards energy-aware infrastructure planning. In this work, we present a spatio-temporal clustering approach that models the connection time for potential Roadside Unit deployment sites. Our techniques leverage crowdsourced data, which is collected at the vehicle, and accurately represents the trends of users in the network. Modeling the connection time of deployment sites allows for transmission power to be adjusted based on traffic flow. We also present a technique to model the signal strength in deployment sites, thus identifying areas with sufficient coverage and selecting sites with weak connectivity from existing networking infrastructure. Combined this information allows infrastructure to be deployed in a manner that matches the real-time traffic and operate with an optimal transmission power.
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