Big Data Platforms for the Internet of Things

Abstract

This chapter discusses the challenges, state of the art, and future trends in context-aware environments (infrastructure and services) for the Internet of Things, an open and dynamic environment where new Things can join in at any time, and offer new services or improvements of old services in terms of performance and quality of service. The dynamic behavior is supported by mechanisms for Things publishing, notification, search, and/or retrieval. Self-adaptation is important in this respect. For example, when things are unable to establish direct communication, or when communication should be offloaded to cope with large throughputs, mobile collaboration can be used to facilitate communication through opportunistic networks. These types of networks, formed when mobile devices communicate only using short-range transmission protocols, usually when users are close, can help applications still exchange data. Routes are built dynamically, since each mobile device is acting according to the store-carry-and-forward paradigm. Thus, contacts are seen as opportunities to move data towards the destination. In such networks data dissemination is usually based on a publish/subscribe model. We make a critical analysis of current opportunistic approaches using the elements of a newly defined taxonomy. We review current state-of-the-art work in this area, from an IoT perspective.KeywordsMobile DeviceData DisseminationCommunity DetectionSmart CityBloom FilterThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.