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Hybrid Data Mining to Reduce False Positive and False Negative Prediction in Intrusion Detection System Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Intelligent Communication Between IoT Devices on Edges in Retail Sector

Authors : M. Saravanan, N. C. Srinidhi Srivatsan

Published in: Advances in Information and Communication Networks

Publisher: Springer International Publishing

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Abstract

In this paper, we have designed a custom communication model for IoT devices on its edges to induce intelligence in the retail sector. Wireless technologies, such as RFID (Radio Frequency Identification), NFC (Near Field Communication), needed BLE (Bluetooth Low Energy), and LPWAN (Low-Power Wide-Area Network), etc. were delegated to perform various tasks within the available services. We introduce Smart Shop (SmSH) architecture that integrates features of context-aware services, platform independent, edge computing and proximity sensing to establish seamless connectivity for the customer entrusted tasks. This architecture should encompass the M2M communication devices and gateways which are generally connected to the cloud environment to establish meaningful communication in commercial IoT applications. Our architecture has been proposed primarily for the retail sector and can be extended easily to other domains by altering the required functionalities, device types and services.

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Metadata
Title
Intelligent Communication Between IoT Devices on Edges in Retail Sector
Authors
M. Saravanan
N. C. Srinidhi Srivatsan
Copyright Year
2019
Book
Advances in Information and Communication Networks

Print ISBN: 978-3-030-03404-7

Electronic ISBN: 978-3-030-03405-4

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-03405-4_38