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The Internet of Things (IoT) revolution and the development of smartcommunities have resulted in increased demand for bandwidth due to the rise innetwork traffic. Instead of investing in expensive communicationsinfrastructure, some researchers have proposed leveraging Vehicular Ad-HocNetworks (VANETs) as the data communications infrastructure. However VANETs arenot cheap since they require the deployment of expensive Road Side Units (RSU)sacross smart communities. In this research, we propose an infrastructure-lesssystem that opportunistically utilizes vehicles to serve as Local CommunityBrokers (LCBs) that effectively substitute RSUs for managing communicationsbetween smart devices and the cloud in support of smart community applications.We propose an opportunistic algorithm that strives to select vehicles in orderto maximize the LCBs' service time. The proposed opportunistic algorithmutilizes an ensemble of online selection algorithms by running all of themtogether in passive mode and selecting the one that has performed the best inrecent history. We evaluate our proposed algorithm using a dataset comprisingreal taxi traces from the city of Shanghai in China and compare our algorithmagainst a baseline of 9 Threshold Based Online (TBO) algorithms. A number ofexperiments are conducted and our results indicate that the proposed algorithmachieves up to 87% more service time with up to 10% fewer vehicle selectionscompared to the best-performing existing TBO online algorithm.

Opportunistic Selection of Vehicular Data Brokers as Relay Nodes to the Cloud