Design, Analysis and Empirical Evaluation of Power Management in Multi-Hop Wireless Networks

In this thesis we provide a comprehensive set of solutions to power management in multi-hop wireless networks from protocol design, performance analysis to empirical evaluation. The main objective is to achieve energy conservation with moderate and controllable performance degradation. We first propose an on-demand power management framework that utilizes the short-term dependency in packet arrivals and the intrinsic correlation between on-demand routing protocols and data delivery to achieve energy saving, while not introducing significant delivery latency. Both simulation studies and empirical evaluation demonstrate significant energy savings of on-demand power management. To counter the problems of a centralized time server and poor adaptability to network dynamics in synchronized wakeup schedules (e.g., IEEE 802.11 PSM), we then design an optimal asynchronous wakeup schedule based on the theory of block design. Two power management schemes, i.e., slot-based and on-demand power management are investigated and evaluated in conjunction with the proposed asynchronous wakeup protocol. In the third part of the thesis, we develop queuing models to characterize energy consumption, delay and throughput as a function of wakeup schedule and power management strategies, and analyze the energy-performance trade-off in power managed networks. We also implement several modules and APIs in TinyOS 1.0 for time-synchronization, profiling the energy consumption and facilitating power management of small wireless devices. The effectiveness of the proposed power management protocols are corroborated by the measurement-based study using UCB motes.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Zheng, Rong

Contributors dc:contributor

• Jennifer C. Hou
• Lui Sha

• Computer Science

Language dc:language

eng

Identifier

(MiAaPQ)AAI3131062

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/81645