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Low-power, High-throughput Protocol Design for Wireless Sensor Networks under Heterogeneous Interference
PhD Thesis Proposal Defence
Title: "Low-power, High-throughput Protocol Design for Wireless Sensor Networks
under Heterogeneous Interference"
by
Mr. Xiaolong ZHENG
Abstract:
The past decade has witnessed the great success of wireless sensor networks.
Recently, an increasing number of WSN systems are deployed in indoor
environments for the applications such as indoor environment monitoring and air
condition control systems. Such a trend brings in new challenges to low-power
and high-throughput protocol designs in WSNs because WSNs operate on the 2.4GHz
license-free band, which is crowded by the heterogeneous interference caused by
ever-developing wireless technologies in 2.4GHz such as WiFi and Bluetooth.
This noisy environments leads to problems of existing methods as well as
significant challenges for low-power and high-throughput protocol design.
In my first work, I study the impacts of heterogeneous interference on duty
cycling techniques. We observe nodes wakes up more frequently but receive no
valid packets under the interference environments. We investigate the reasons
and then study how to keep the low duty cycle under heterogeneous interference
environments. We propose a low-power MAC design to improve the energy efficient
under interference.
In my second work, I study the performance of existing data collection methods
under interference environments. We find that the throughput is harmed because
the spectrum crowded by a variety of wireless technologies squeeze the free
channel space for WSNs. Hence, I design a novel dynamic channel hopping method
that always discovery and leverage the good channels accurately to improve the
throughput under heterogeneous interference environments.
In my third work, I study the performance of data dissemination methods under
various environments. We observe low throughput under both noisy and clean
environments due to the improper usage of reliability-guarantee mechanisms.
Hence, I propose a general data dissemination method that adopts different
dissemination strategy according to the ambient environments for high
throughput.
Date: Tuesday, 19 August 2014
Time: 10:30am - 12:30noon
Venue: Room 4483
lifts 25/26
Committee Members: Prof. Lionel Ni (Supervisor)
Prof. Gary Chan (Chairperson)
Dr. Qiong Luo
Dr. Ke Yi
**** ALL are Welcome ****