Seesaw: An Adaptive and Energy-Efficient Data Storage and Query Mechanism in Wireless Sensor Networks
Date Issued
2005
Date
2005
Author(s)
Huang, Shih-Hsiang
DOI
en-US
Abstract
Energy efficiency is a major concern of mechanism design in wireless
sensor networks. Therefore, heuristic data storage and query
approaches like external storage or local storage are not suitable
in this kind of environment. Data-centric storage is a useful method
which not only reduces total message load, but distributes load
throughout the whole network. However, event happening and query
dissemination frequencies are time-varying and usually mismatched.
The above static data storage and query mechanisms can not adapt to
the realtime situation and hence incur unnecessary transmission
costs.
In this thesis we propose Seesaw, an adaptive scheme for supporting
efficient data storage and query in sensor networks. Seesaw is based
on the concept of structured replication in GHT (Geographic Hash
Table). By choosing the optimal replication parameters, Seesaw can
dynamically adjust its storage and query strategies to achieve
energy efficiency. Besides, the concept of adaptive replication also
improves load balance and reliability. The simulation results
demonstrate that Seesaw can not only successfully complete storage
and query tasks in lower energy consumption, but achieve load
balance, scalability, and robustness simultaneously.
Subjects
Sensor Networks
Storage
Query
Energy Efficiency
Adaptive Mechanism
感應器網路
儲存
查詢
節能
可動態調適之機制
Type
other
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