By Nik Bessis, Ciprian Dobre
This publication offers present development on demanding situations relating to mammoth information administration through targeting the actual demanding situations linked to context-aware data-intensive purposes and prone. The booklet is a cutting-edge reference discussing development made, in addition to prompting destiny instructions at the theories, practices, criteria and techniques which are with regards to the rising computational applied sciences and their organization with helping the net of items complex functioning for organizational settings together with either company and e-science. except inter-operable and inter-cooperative points, the e-book offers with a remarkable chance specifically, the present pattern during which a jointly shared and generated content material is emerged from web end-users. particularly, the booklet provides advances on coping with and exploiting the sizeable dimension of information generated from in the clever surroundings (i.e. shrewdpermanent towns) in the direction of an built-in, collective intelligence strategy. The ebook additionally provides equipment and practices to enhance huge garage infrastructures according to expanding calls for of the knowledge extensive functions. The publication comprises 19 self-contained chapters that have been very conscientiously chosen according to peer overview via at the least specialist and self sufficient reviewers and is prepared into the 3 sections reflecting the final subject matters of curiosity to the IoT and massive information communities:
Section I: Foundations and ideas
Section II: complex types and Architectures
Section III: complex functions and destiny Trends
The e-book is meant for researchers drawn to becoming a member of interdisciplinary and transdisciplinary works within the parts of shrewdpermanent Environments, net of items and diverse computational applied sciences for the aim of an built-in collective computational intelligence strategy into the massive facts period.
Read or Download Big Data and Internet of Things: A Roadmap for Smart Environments (Studies in Computational Intelligence) PDF
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Additional info for Big Data and Internet of Things: A Roadmap for Smart Environments (Studies in Computational Intelligence)
The most efficient method is using Bloom filters, because they are space efficient data structures of fixed size that avoid unnecessary transmissions of data that the receiver has already received . Data exchange should also be performed in a manner that optimizes the duration of a transfer. The nodes from the Socio-Aware Overlay exchange subscriptions and lists of centrality values, Ad Hoc Podcasting exchanges episodes or chunks, DPSP uses bundles and ContentPlace nodes exchange data objects.
The interaction between nodes has three steps that have been presented in detail in Sect. 4: node discovery, content identification and data exchange. -I. Ciobanu et al. to the type of devices that are present in the network. In case of the Socio-Aware Overlay and ContentPlace, the discovery is performed by using the Bluetooth or WiFi capabilities. The Ad Hoc Podcasting algorithm uses broadcast beacons, while the authors of DPSP do not mention a particular discovery method. It is a good approach to use the existing capabilities from the wireless protocols, but a data dissemination algorithm should try to extend the battery’s life as much as possible.
Moving towards the future, DTNs and ONs are a very good fit for smart cities . ) in order to better optimize their resources and plan their preventive maintenance activities. They react to changes in any of these infrastructures by analyzing the environment and deciding what the suitable decision is. Smart cities connect the physical, IT, social and business infrastructures, for the purpose of leveraging the collective intelligence of the cities. Delay-tolerant and opportunistic networks can be employed to perform communication between various parts of a smart city.