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|Title: ||Model-driven transmission power management for wireless sensor networks|
|Other Titles: ||Mo xing qu dong de wu xian chuan gan qi wang luo chuan shu neng liang kong zhi|
|Authors: ||Sha, Mo (沙漠)|
|Department: ||Department of Computer Science|
|Degree: ||Master of Philosophy|
|Issue Date: ||2009|
|Publisher: ||City University of Hong Kong|
|Subjects: ||Wireless sensor networks.|
|Notes: ||CityU Call Number: TK7872.D48 S53 2009|
x, 83 leaves : ill. 30 cm.
Thesis (M.Phil.)--City University of Hong Kong, 2009.
Includes bibliographical references (leaves 77-82)
|Abstract: ||Recently wireless sensor networks (WSNs) have been deployed for several dataintensive
sensing applications such as structural monitoring and habitat monitoring.
Sensor nodes in these applications often sample the physical environments at high rates.
Supporting data-intensive applications poses several major challenges to the design of
WSNs. Due to tight power budget, radios on sensor nodes have very limited bandwidth.
In addition, sensor data usually must be delivered to the sink through multiple hops. The
achievable delivery rate of aWSN is thus limited by the interference among transmitting
nodes. As a result, a fundamental tension exists between the sheer amount of data generated
by sensor nodes and the low capacity of WSNs. Moreover, the low throughput of
a network also leads to poor energy efficiency as nodes must remain active for a longer
In an attempt to deal with the problem, this thesis first develops empirical signal
decay and interference models. Based on these models, it then proposes C-MAC, a
new MAC protocol designed to achieve high-throughput bulk communication for data
intensive sensing applications. Nodes running C-MAC estimate the level of interference
based on the physical Signal-to-Interference-plus-Noise-Ratio (SINR) model and
adjust the transmission power accordingly for concurrent channel access. C-MAC has
been implemented in TinyOS-1.x and extensively evaluated on Tmote nodes. The experimental
results show that C-MAC significantly outperforms the state-of-art CSMA
protocol in TinyOS with respect to system throughput, delay and energy consumption.
Moreover, this thesis extends to study inter-channel interference models and then apply
the models to both link capacity analysis and channel assignment protocols. The
experimental results from a testbed of 802.15.4 TelosB motes show that inter-channel interference models not only are accurate but also incur low measurement overhead.
The results also demonstrate that channel assignment protocols for WSNs significantly
benefit from using overlapping channels.|
|Online Catalog Link: ||http://lib.cityu.edu.hk/record=b2374815|
|Appears in Collections:||CS - Master of Philosophy |
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