Journal
IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2019)
Volume -, Issue -, Pages 784-792Publisher
IEEE
DOI: 10.1109/infocom.2019.8737503
Keywords
Fog networking; collaborative offloading; data drop-off rate; Internet of Things
Categories
Funding
- Academy of Finland [299222, 319710]
- US National Science Foundation [CNS-1751075, CNS-1759652, CNS-1759655]
- Defense Advanced Research Projects Agency (DARPA) DCOMP program [HR001117C0052, HR001117C0048]
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Urban environments are a particularly important application scenario for the Internet of Things (IoT). These enviromnents are usually dense and dynamic; in contrast, IoT devices are resource-constrained, thus making reliable data collection and scalable coordination a challenge. This work leverages the fog networking paradigm to devise a multi-tier data offloading protocol suitable for diverse data-centric applications in urban IoT scenarios. Specifically, it takes advantage of heterogeneity in the network so that sensors can collaboratively offload data to each other or to mobile gateways. Second, it evaluates the performance of this offloading process through the amount of data successfully reported to the cloud. In detail, it provides an analytical characterization of data drop-off rates as a random process and derives a light-weight yet efficient method for collaborative data offloading. Finally, it shows that the proposed fog-based solution significantly decreases the data drop-off rate through both analysis and extensive trace-driven simulations based on human mobility data from real urban settings.
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