Please use this identifier to cite or link to this item:
Title: Energy Efficiency of M2M Communication
Authors: Ali, Anum
Keywords: Physical Sciences
Computer Science
Issue Date: 2020
Publisher: University of Engineering & Technology, Lahore.
Abstract: Machine-to-Machine (M2M) communication network is an emerging new architecture that is aimed to involve and support billions of devices in future. This architecture is based on small devices such as sensors and mobile phones that should operate for long time duration. M2M network comprises of unique characteristics such as delay sensitive, use small payloads (few kbit/minute), time controlled, require packet-switched data services and apply group based addressing, these devices should be of low cost and should withstand much longer duration of time span. By considering these unique characteristics, the success of M2M network depends on the ratio of devices availability and ease of access. There exists many challenges to tackle in order to avoid disappointing performance. Such as traffic related challenges that includes critical real-time uplink and/or downlink connections, deployment-related challenges including shadowed indoor and high mobility, energy-related challenges including ultra-low energy consumption and high energy efficiency and complexity-related challenges includes transmitter/receiver design requirements, computational/storage capabilities, and device longevity through backwards compatibility, etc. The sensors and mobile nodes uses batteries therefore cannot afford alot of energy consumption that is mainly used in transmission and reception. Energy efficient techniques are applied in situations where longer communication time span is required, enabling long operational time. This thesis contributes algorithms based on physical and MAC layers of communication pyramid, based on physical layer is a novel resource allocation algorithm termed as threshold controlled access (TCA) protocol and a power adaptive slotted aloha (PASA) uplink MAC protocol for M2M architecture respectively. The thesis also proposed efficient mathematical model autonomous localization in M2M Vehicles by multiagents (ALM) for less complex positioning capabilities for navigating the vehicles. Our objective was to increase energy efficiency while increasing sensor life time. We proposed the algorithms that allocates resource blocks according to the QoS metric that relates the M2M device power limits and adjusts the contention Abstract xii window size for optimal transmission. The solution gives better performance results when compared with standard algorithms. In the end we proposed efficient communication framework for less complex positioning between vehicles.
Gov't Doc #: 20794
Appears in Collections:PhD Thesis of All Public / Private Sector Universities / DAIs.

Files in This Item:
File Description SizeFormat 
Anum ali CS 2020 UET lhr.pdfPhd.Thesis6.13 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.