Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.723035
Title: Optimal wireless technologies for the Internet of Things (IoT)
Author: Thomas, Darshana
Awarding Body: University of Strathclyde
Current Institution: University of Strathclyde
Date of Award: 2017
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Abstract:
The Internet of Things (IoT) - connection of small smart sensors, actuators and other devices to the Internet - is a key concept within the smart home. To ease deployment, such devices are often wireless and battery powered. An important question is the wireless interface used. As these small sensors are increasing in number, the need to implement these with much more capable and ubiquitous transmission technology is necessary. The ubiquity of Wi-Fi in homes today makes this an attractive option, but the relatively high power requirements of Wi-Fi conflict with the requirement for long battery life and low maintenance. Lower power alternatives, such as Bluetooth and Zigbee, have been proposed, but these have a much smaller installed base. In addition, many Smart Home products are currently available using 433MHz technology. This thesis considers whether it is possible to reduce Wi-Fi power usage to the point where cheap Wi-Fi based products can be used instead of other protocols. A low cost Wi-Fi inbuilt IoT prototype was developed and tested for the purpose of the experiment carried out for this thesis, part of Treegreen project. The work in this thesis undertakes power analysis of a wireless sensor with a System on Chip (SoC) Wi-Fi module, with and without a separate microcontroller, optimized for low power usage which can be used to control the Wi-Fi module. The Wi-Fi chip used within the prototype is the ESP8266- ESP03. Based on the results, in order to optimize the power consumption of the Wi-Fi chip, an MSP430 microcontroller was added onto the existing device. Finally, the IoT data in LTE network is investigated and compared with the real world IoT data.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.723035  DOI: Not available
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