Management of large-scale Iot (Internet of Things) networks
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Authors
Chia, Chun Heong
Subjects
Internet of Things (IoT)
large-scale
power constrained networks
large-scale
power constrained networks
Advisors
Singh, Gurminder
Date of Issue
2018-03
Date
Mar-18
Publisher
Monterey, California: Naval Postgraduate School
Language
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 and take 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.
Type
Thesis
Description
Series/Report No
Department
Computer Science (CS)
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
Copyright is reserved by the copyright owner.