Management of Large Scale IOT (Internet of Things) Network

Abstract

Internet of Things (IoT) networks are often large networks built to maximize the benefits of distributed computing. Management of these networks poses many challenges. IoT devices are often connected wirelessly and are battery powered. In this type of a network, it is important for a network administrator to know which devices may be running low on battery power. Monitoring the battery life of these devices can be difficult and time consuming but is critical to the operation of the network. This research develops an autonomous Energy Monitoring System that triggers alerts from the battery to the server when battery life reaches a critical level. This enables the network administrator to plan andtake appropriate action on a timely basis. The system also enables the network administrator to interrogate an individual device in the network for its energy status. In this thesis, we describe the system design and implementation using a network of Raspberry Pi computers powered by batteries, and report the results of tests conducted to evaluate the design and implementation.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2018
Accession Number
AD1052530

Entities

People

  • Chun H. Chia

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Computer Networks
  • Computer Programming
  • Computers
  • Detectors
  • Energy Consumption
  • Energy Management
  • Graphical User Interface
  • Internet Of Things
  • Measurement
  • Mobile Ad Hoc Networks
  • Network Architecture
  • Network Protocols
  • Network Science
  • Network Topology
  • Sensor Networks
  • Wireless Communications
  • Wireless Sensor Networks

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Cybersecurity.
  • Distributed Systems and Data Platform Development

Technology Areas

  • 5G
  • 5G - Internet of Things