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Wireless Sensor Networks In-Network Relational Databases

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Cougar from Cornell. Sensors. Abstract Data Type Functions. In-Network Processing. Gateway Node ... Yao and J. Gehrke, 'The cougar approach to in-network query ... – PowerPoint PPT presentation

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Title: Wireless Sensor Networks In-Network Relational Databases


1
Wireless Sensor NetworksIn-Network Relational
Databases
  • Jocelyn Botello

2
Overview
  • Introduction
  • Sensor Database System
  • Projects
  • TinyDB
  • Cougar
  • Maximum Performance
  • Efficiency
  • Optimization

3
Introduction
  • Minimization Goal
  • Network Traffic
  • Amount of Transmitted Data
  • Maximization Goal
  • Computing Capacity
  • Power
  • Acquire Data for Unlimited Time

4
Sensor Database System
  • Access data with no previous knowledge
  • Three-Layer Reference Model
  • Relational Model
  • Sensor Data Time Series
  • Stored Data Relations

5
TinyDB from Berkley
  • Query Processor
  • Multiple Query Concurrency
  • Tree Routing

6
TinyDB from Berkley
  • Event- Based Queries
  • Actuation Queries
  • Lifetime- Based Queries
  • Monitoring Queries
  • Network Health Queries
  • Exploratory Queries
  • Aggregation Queries

7
Cougar from Cornell
  • Sensors
  • Abstract Data Type Functions
  • In-Network Processing
  • Gateway Node
  • Query Proxy
  • Small Database Component

8
Efficiency
  • Communication Failure
  • Reliable Data
  • Uncertainty of Data
  • Security of Data
  • Networks Power Life

9
Communication Failure
  • Sensors Physically Dependable
  • Outside Factors
  • Keep Data Alive
  • Back-Up
  • Accessibility, Availability

10
Reliable Data Uncertainty
  • Level of Accuracy Vs Cost of Computation
  • Desired Accuracy
  • Probabilistic Threshold Query

11
Reliable Data Security
  • Network Specific
  • Level of Security
  • Access Points/Rights
  • Affects of Aggregation
  • Dynamic
  • Level of Security Vs Access Time

12
Optimization
  • Data Space Management
  • Queries
  • Aggregation

13
Data Space Management
  • Storage Nodes
  • Minimize Traffic Retrieve Time
  • Switch Roles
  • Busy Region
  • Power Life

14
Queries
  • Independent, Dynamic
  • Irrelevant Factors
  • Power Management
  • Time Synchronization
  • Data Processing
  • Data Collection
  • Maintaining Power Life
  • Multiple, Nested Queries

15
Aggregation
  • Partial/Total Aggregation
  • Selective Data
  • Spatial Aggregation
  • Spatial Moving Average
  • Voroni Diagram
  • Triangular Irregular Network

16
Conclusion
  • Maximum Performance
  • Efficiency
  • Reliable Data Vs Communication Failure
  • Optimization
  • Queries
  • Aggregation
  • Minimize Network Traffic
  • Conservation of Power

17
Future Work
  • Power Management
  • Data Management
  • Data Collection
  • Data Processing
  • Query Processing
  • Network Design

18
References
10 S. M. Michael J. Franklin, Joseph M.
Hellerstein, Thinking big about
tiny databases, Bulletin of IEEE
Computer Society Technical Committee on
Data Engineering, September 2007. 11 Q. Ren
and Q. Liang, Query processing optimization
through sample size and monitoring coverage
controlling in wireless sensor
networks, IEEE CNF, vol. 3, pp.
830834, September 2006. 12 Q. Ren and Q. Lian,
A quality-guaranteed and
energy-efficient query processing algorithm for
sensor networks, in Proc. IEEE Wireless
Communications and Networking Conference
2006 (WCNC2006), April 2006, pp.
4762. 13 L. Q. Zhuang, J. B. Zhang, D. H.
Zhang, and Y. Z. Zhao, Data management
for wireless sensor networks Research
issues and challenges, in Proc. IEEE
2006 International Conference on Wireless
Communication, Networking and Mobile Computing,
September 2005, pp. 15. 14 G. K. J. B.
Jeffrey Considine, Feifei Li, Approximate
aggregation techniques for sensor databases,
in Proc. IEEE 20th International
Conference on Data Engineering
(ICDE04), April 2004, pp. 449460. 15 P.
Flajolet and G. N. Martin, Probablistic counting
algorithms for data base applications,
Journal of Computer and System
Sciences. 16 M. Sharifzadeh and C. Shababi,
Supporting spatial aggregation in
sensor network databases, in Proc. 12th
Annual ACM international workshop on
Geographic Information Systems, 2004, pp.166
175.
  • 1 P. S. Philippe Bonnet, Johannes Gehrke,
    Towards sensor database systems, ACM, vol.
    1987, pp. 314, 2001.
  • 2 Y. Yao and J. Gehrke, The cougar approach to
    in-network query processing in sensor networks,
    ACM SIGMOD Record, vol. 31, no. 3, pp. 918,
    September 2002.
  • 3 Q. Luo and H. Wu, System design issues in
    sensor databases, in Proc. ACM SIGMOD
    International Conference on Management of Data,
    June 2007, pp. 11821185.
  • 4 Zechinelli-Martini, Jose-Luis, and I.
    Elias-Morales, Modelling and querying sensor
    databases, in Proc. IEEE 8th Mexican
    International Conference on Current Trends in
    Computer Science, September 2007, pp. 138148.
  • 5 S. R. Madden, M. J. Franklin, J. M.
    Hellerstein, and W. Hong, Tinydb An
    acquisitional query procesing system for sensor
    networks, ACM Transactions on Database System,
    vol. 30, no. 1, pp. 122173, March 2006.
  • 6 T. Apaydin, S. Vural, and P. Sinha, On
    improving data accessibility in storage based
    sensor networks, in Proc. IEEE International
    Conference on Mobile Adhoc and Sensor System(MASS
    07), October 2007, pp. 19.
  • 7 R. Cheng and S. Prabhakar, Managing
    uncertainty in sensor databases, SIGMOD Record,
    vol. 32, no. 4, pp. 4146, 2003.
  • 8 B. Thuraisingham, Secure sensor information
    management and mining, IEEE Signal Processing
    Magazine, vol. 3, pp. 1419, May 2004.
  • 9 R. Tamishetty, L. H. Ngoh, and P. H. Keng,
    Query-based wireless sensor storage management
    for real-time applications, in Proc. IEEE
    International Conference on Industrial
    Informatics 2006, August 2006, pp. 166170.
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