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Access Type
WSU Access
Date of Award
January 2023
Degree Type
Dissertation
Degree Name
Ph.D.
Department
Computer Science
First Advisor
Abusayeed Saifullah
Second Advisor
Nathan Fisher
Abstract
The Internet of Things (IoT) constitutes thousands of networked embedded devices communicating over long distances to a central gateway. Recently, Low-Power Wide-Area Network (LPWAN) has emerged as a key technology for IoT due to its ability to reach long ranges with low power consumption and massive concurrent reception. Among many competing technologies, LoRa has been dominating the LPWAN industry due to its widespread availability. However, energy efficiency remains a key challenge for maximizing network availability and sustainability in LoRa networks. The rapid growth of LPWANs in a limited spectrum also poses severe challenges in the widespread adoption of LoRa in IoT applications. On the other hand, many safety-critical systems have low-latency requirements. Therefore it is important to regulate their energy consumption while maintaining real-time guarantees. To address the above-mentioned challenges, we propose novel, energy-efficient approaches for LoRa networks by (1) proposing a new link-layer protocol for LoRa to maximize network lifetime through a novel packet offloading approach. (2) proposing the first approach to enhance battery lifespan in a LoRa network by considering the impact of packet transmissions on battery capacity degradation (3) enabling energy-efficient, real-time closed loop communication over LoRa, and (4) designing a novel, light-weight, energy-efficient embedded learning agent to handle the massive coexistence of many unknown uncoordinated networks in LPWAN. Furthermore, complex tasks in critical IoT applications, such as connected autonomous vehicles must adhere to strict timing constraints to ensure safety. Therefore, we also propose analytical performance guarantees for executing parallel real-time tasks on heterogeneous multicore platforms to ensure predictable latency.
Recommended Citation
Fahmida, Sezana, "Latency- And Energy-Aware Protocols For Internet Of Things" (2023). Wayne State University Dissertations. 3921.
https://digitalcommons.wayne.edu/oa_dissertations/3921