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Developing a User-friendly Sensor Network
Simulator to Imitate Wireless Charging Vehicle
Behaviors
Presented By
Sabbir Ahmed
Roll: 1209037
Author
Shuo-Han Chen1, Tseng-Yi Chen1, Yu-Chun Cheng2, Hsin-Wen
Wei3, Tsan-sheng Hsu4, Wei-Kuan Shih2
1Department of Computer Science, National Tsing Hua
University, Hsinchu, Taiwan
2Institute of Information Systems and Applications, National
Tsing Hua University, Hsinchu, Taiwan
3Department of Electrical Engineering, Tamkang University, New
Taipei City, Taiwan
4Institute of Information Science, Academia Sinica, Taipei,
Taiwan
Department. of Electronics and Communication Engineering
Khulna University of Engineering & Technology
Content
Introduction
Background
Related Work
Motivation
System Architecture of Wireless Charging Vehicle Simulator
SIMULATOR VERIFICATION
CONCLUSION AND FUTURE WORK
REFERENCES
Introduction
• Wireless sensor networks ( WSN ) are spatially distributed
autonomous sensors to monitor physical or environmental
conditions
Fig.1 : wireless sensor network architecture
Introduction
 WCV carries a power charging
module and periodically visits
each sensor node and recharges
each node wirelessly.
 After that, it returns to the service
station to recharge its on-board
battery
Fig.2 : Wireless Charging Vehicle Behaviors
Introduction
 Factors that affect a WSN (system performance
and lifetime) :
• Distance between nodes
• Communication protocol
• The node power consumption rate
Introduction
“ WSN TEST BED IS VERY
EXPENSIVE”
Give me a WSN simulator , I will
design a WSN
Give me a WSN simulator , I will
design a WSN
Introduction
• They have limited support for wireless charging
BUT !!!
There is some WSN simulator
Introduction
Development of brand new simulator
• Effective for focusing on the special characteristics and functions
of wireless charging and mobile vehicles
• It can simulate the recharging process and data communication of
wireless sensor network
Background
• Primary related research topics are prolonging
the lifetime of the WSN
• WCV technology is very helpful in a WSN as it can be used to
recharge nodes regularly, increasing the lifetime of the system
• lifetime of the sensor network and the energy consumption of the
WCV must be considered when designing a travelling path protocol of
the WCV
Network simulator (ns-3) :
Related Work
• Energy harvest module and precise wifi energy
consumption module
 Java simulator (J-sim) :
• Facilities users for compiling the Mathematical
Modelling Language and visualizing the
outcome
 EstiNet network simulator :
• Support various standard network protocol ,
including IEEE 802.11(a)(b)(e)(p)
Motivation
• In order to save researchers from the need of constructing their
own simulation tools or modules on simulating the functionality
of wireless charging and mobile vehicles, this study proposed
Wireless Charging Vehicle Simulator (WCVS)
System Architecture of Wireless Charging Vehicle
Simulator
User InputUser Input
Wireless Charging Vehicle Simulator
Wireless Sensor Network SimulationWireless Sensor Network Simulation Mobile Wireless
Charging Vehicle
Mobile Wireless
Charging Vehicle
Sensor
Node
List
Sensor
Node
List
WCV
parameter
WCV
parameter
Power
Consumption
Power
Consumption
Data
Flow
Generator
Data
Flow
Generator
Data
Routing
Data
Routing
Sensor
Node
Generator
Sensor
Node
Generator
Vehicle
Control
Module
Vehicle
Control
Module
Wireless
Charging
Module
Wireless
Charging
Module
System Architecture of Wireless Charging Vehicle
Simulator
User Input Module :
• User input interface for the
simulation setting input
• Proposed simulator can adaptively
evaluate the capability of a WCV
routing algorithm on different
WSN topologies
Basic settable parameters of WCVS
Name Default Value
Running Time Specify By User
Sensor Node Number Specify By User
Sensor Node List Randomly Generated
Data Generate Rate of Sensor Nodes Randomly Generated
Data Generate Rate [1, 10] b/s
Base Station Location Specify By User
Service Station Location Specify By User
Data Routing Protocol Minimum Spanning Tree
Mobile Vehicle Speed 5 m/s
Mobile Vehicle Traveling Path Shortest Hamiltonian Cycle
Wireless Charging Rate 5 W
Maximum Battery Capacity of Sensor Nodes, E max 10 KJ
Maximum Battery level of Sensor Nodes , E min 0.02 ·E max
• Wireless Sensor Network Simulation
System Architecture of Wireless Charging Vehicle Simulator
• Simulates the basic function of the WSN
melty-hop data send/receive operation
the power consumption of each node
a random generator for generating WSN topology
• Wireless Charging & Mobile Vehicle :
System Architecture of Wireless Charging Vehicle Simulator
• Wireless Charging Module :
 Using two recharging methods, including one-to-one and one-to-many
recharging
 In the one-to-one method, the vehicle recharges one node at a time
 In one-to many method, it transfers power at a frequency of over 915
MHz over a maximum range of 40-50 feet
• Wireless Charging & Mobile Vehicle :
System Architecture of Wireless Charging Vehicle Simulator
• Vehicle Control Module :
Simulate the power consumption of a vehicle as it traverses a given path
User can define which points to visit, time spent at each point, and rate
of energy consumption when moving and when standing by
Alerts the user when the input data set is infeasible if it cannot traverse
the path because of power shortage on the vehicle
• A topology of 50 and 100 nodes are deployed in the field of 1 km × 1 km with the
positions and data generation rates as the topology used by Xie et al
Fig. 4: Shortest Hamiltonian Cycle for
WCV traveling
.
Fig. 3: Minimum Spanning Tree for Data routing.
SIMULATOR VERIFICATION
Xie et al.’s work is to make a sensor network immortal via regular one-
to-one recharging at each sensor node
WCVS can maintain all nodes above Emin under the self-generated
data routing path and WCV traveling path
WCVS can maintain the topology alive over several weeks
Identical power consumption and cycle time for the WVC
SIMULATOR VERIFICATION
SIMULATOR VERIFICATION
Fig. 5: Power Consumption Statics generated by WCVS
SIMULATOR VERIFICATION
Fig. 6: Traveling Time Statics generated by WCVS
CONCLUSION AND FUTURE WORK
• Wireless charging vehicle simulator (WCVS) is designed and implemented
• Researchers can set up some basic parameter and give the charging point list
and WCVS will do the rest of the work
• Determining when the vehicle should be out on filed and when to stay at
service station
• Giving alerts when the nodes’ battery level drop below minimum level
The next step for WCVS is to equip itself with a more powerful GUI to display
the simulation process real-timely and support more IEEE wireless network
standard.
REFERENCES
[1] Y. Shi, L. Xie, Y. Hou, and H. Sherali, “On renewable sensor networks with wireless energy transfer,” in IEEE International Conference
on Computer Communications (INFOCOM 2011), pp. 1350-1358, April 2011.
[2] Yang Peng, Zi Li, Wensheng Zhang and Qiao, D., “Prolonging Sensor Network Lifetime Through Wireless Charging,” in Real-Time
Systems Symposium (RTSS), pp. 129 - 139, December 2010.
[3] Hui Wang, Agoulmine, N., Maode Ma, and Yanliang Jin, “Network lifetime optimization in wireless sensor networks,” in IEEE Journal
on
Selected Areas in Communications focuses on all telecommunications, including telephone, telegraphy, facsimile, and point-to-point
television, by electromagnetic propagation, Vol. 28, No.7, pp. 1127-1137, September 2010.
[4] Asorey-Cacheda R, Garca-Snchez AJ, Garca-Snchez F, Garca-Haro J, and Gonzlez-Castano FJ, “On Maximizing the Lifetime of
Wireless Sensor Networks by Optimally Assigning Energy Supplies,” in Sensors 2013, August 2013.
[5] Bulent Tavli , Mehmet Kayaalp, Onur Ceylan, and Ibrahim E. Bagci, “Data processing and communication strategies for lifetime
optimization in wireless sensor networks,” in International Journal of Electronics and Communications, May 2008.
[6] Juliano V. Quaglio, Tetsu Gunji, and Celso M. Hirata, “Extending NCTUns simulator to support Mobile Networks,” in Proceedings of the
2nd International Conference on Simulation Tools and Techniques (Simutools 2009), No.2, March 2009.
[7] Tony Ducrocq, Nathalie Mitton, and Michael Hauspie, “Energy-based Clustering for Wireless Sensor Network Lifetime Optimization,” in
Wireless Communication and Networking Conference (WCNC 2013), pp. 968 - 973, Apr 2013.
[8] A. Kurs, A. Karalis, R. Mottk, J. D. Joannopoulos, P. Fisher, and M. Soljacic, “Wireless power transfer via strongly coupled magnetic
resonances,” in Science, July 2007.
[9] Ho, S.L, Junhua Wang, Fu, W.N., and Mingui Sun, “A Comparative Study Between Novel Witricity and Traditional Inductive Magnetic
Coupling in Wireless Charging,” in IEEE Transactions on Magnetics, Vol. 47, No. 5, pp. 1522-1525, April 2011.
[10] [Online]. Available: http://www.moeaframework.org/
[11] X. Liu and S. Y. R. Hui, “Simulation study and experimental verification of a contactless battery charging platform with localized
charging features,” in IEEE Transactions on Power Electron, Vol. 22, No. 6, pp. 2202-2210, 2007.
[12] Xie, L., Shi, Y., Hou, Y. T. and Sherali, H. D., Making Sensor Networks Immortal: An Energy-Renewal Approach With Wireless Power
Transfer, IEEE/ACM Transactions on Networking, pp. 1748 - 1761, December 2012.
THANK’S TO ALL

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Developing a User-friendly Sensor Network Simulator to Imitate Wireless Charging Vehicle Behaviors

  • 1. Developing a User-friendly Sensor Network Simulator to Imitate Wireless Charging Vehicle Behaviors Presented By Sabbir Ahmed Roll: 1209037 Author Shuo-Han Chen1, Tseng-Yi Chen1, Yu-Chun Cheng2, Hsin-Wen Wei3, Tsan-sheng Hsu4, Wei-Kuan Shih2 1Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan 2Institute of Information Systems and Applications, National Tsing Hua University, Hsinchu, Taiwan 3Department of Electrical Engineering, Tamkang University, New Taipei City, Taiwan 4Institute of Information Science, Academia Sinica, Taipei, Taiwan Department. of Electronics and Communication Engineering Khulna University of Engineering & Technology
  • 2. Content Introduction Background Related Work Motivation System Architecture of Wireless Charging Vehicle Simulator SIMULATOR VERIFICATION CONCLUSION AND FUTURE WORK REFERENCES
  • 3. Introduction • Wireless sensor networks ( WSN ) are spatially distributed autonomous sensors to monitor physical or environmental conditions Fig.1 : wireless sensor network architecture
  • 4. Introduction  WCV carries a power charging module and periodically visits each sensor node and recharges each node wirelessly.  After that, it returns to the service station to recharge its on-board battery Fig.2 : Wireless Charging Vehicle Behaviors
  • 5. Introduction  Factors that affect a WSN (system performance and lifetime) : • Distance between nodes • Communication protocol • The node power consumption rate
  • 6. Introduction “ WSN TEST BED IS VERY EXPENSIVE” Give me a WSN simulator , I will design a WSN Give me a WSN simulator , I will design a WSN
  • 7. Introduction • They have limited support for wireless charging BUT !!! There is some WSN simulator
  • 8. Introduction Development of brand new simulator • Effective for focusing on the special characteristics and functions of wireless charging and mobile vehicles • It can simulate the recharging process and data communication of wireless sensor network
  • 9. Background • Primary related research topics are prolonging the lifetime of the WSN • WCV technology is very helpful in a WSN as it can be used to recharge nodes regularly, increasing the lifetime of the system • lifetime of the sensor network and the energy consumption of the WCV must be considered when designing a travelling path protocol of the WCV
  • 10. Network simulator (ns-3) : Related Work • Energy harvest module and precise wifi energy consumption module  Java simulator (J-sim) : • Facilities users for compiling the Mathematical Modelling Language and visualizing the outcome  EstiNet network simulator : • Support various standard network protocol , including IEEE 802.11(a)(b)(e)(p)
  • 11. Motivation • In order to save researchers from the need of constructing their own simulation tools or modules on simulating the functionality of wireless charging and mobile vehicles, this study proposed Wireless Charging Vehicle Simulator (WCVS)
  • 12. System Architecture of Wireless Charging Vehicle Simulator User InputUser Input Wireless Charging Vehicle Simulator Wireless Sensor Network SimulationWireless Sensor Network Simulation Mobile Wireless Charging Vehicle Mobile Wireless Charging Vehicle Sensor Node List Sensor Node List WCV parameter WCV parameter Power Consumption Power Consumption Data Flow Generator Data Flow Generator Data Routing Data Routing Sensor Node Generator Sensor Node Generator Vehicle Control Module Vehicle Control Module Wireless Charging Module Wireless Charging Module
  • 13. System Architecture of Wireless Charging Vehicle Simulator User Input Module : • User input interface for the simulation setting input • Proposed simulator can adaptively evaluate the capability of a WCV routing algorithm on different WSN topologies
  • 14. Basic settable parameters of WCVS Name Default Value Running Time Specify By User Sensor Node Number Specify By User Sensor Node List Randomly Generated Data Generate Rate of Sensor Nodes Randomly Generated Data Generate Rate [1, 10] b/s Base Station Location Specify By User Service Station Location Specify By User Data Routing Protocol Minimum Spanning Tree Mobile Vehicle Speed 5 m/s Mobile Vehicle Traveling Path Shortest Hamiltonian Cycle Wireless Charging Rate 5 W Maximum Battery Capacity of Sensor Nodes, E max 10 KJ Maximum Battery level of Sensor Nodes , E min 0.02 ·E max
  • 15. • Wireless Sensor Network Simulation System Architecture of Wireless Charging Vehicle Simulator • Simulates the basic function of the WSN melty-hop data send/receive operation the power consumption of each node a random generator for generating WSN topology
  • 16. • Wireless Charging & Mobile Vehicle : System Architecture of Wireless Charging Vehicle Simulator • Wireless Charging Module :  Using two recharging methods, including one-to-one and one-to-many recharging  In the one-to-one method, the vehicle recharges one node at a time  In one-to many method, it transfers power at a frequency of over 915 MHz over a maximum range of 40-50 feet
  • 17. • Wireless Charging & Mobile Vehicle : System Architecture of Wireless Charging Vehicle Simulator • Vehicle Control Module : Simulate the power consumption of a vehicle as it traverses a given path User can define which points to visit, time spent at each point, and rate of energy consumption when moving and when standing by Alerts the user when the input data set is infeasible if it cannot traverse the path because of power shortage on the vehicle
  • 18. • A topology of 50 and 100 nodes are deployed in the field of 1 km × 1 km with the positions and data generation rates as the topology used by Xie et al Fig. 4: Shortest Hamiltonian Cycle for WCV traveling . Fig. 3: Minimum Spanning Tree for Data routing. SIMULATOR VERIFICATION
  • 19. Xie et al.’s work is to make a sensor network immortal via regular one- to-one recharging at each sensor node WCVS can maintain all nodes above Emin under the self-generated data routing path and WCV traveling path WCVS can maintain the topology alive over several weeks Identical power consumption and cycle time for the WVC SIMULATOR VERIFICATION
  • 20. SIMULATOR VERIFICATION Fig. 5: Power Consumption Statics generated by WCVS
  • 21. SIMULATOR VERIFICATION Fig. 6: Traveling Time Statics generated by WCVS
  • 22. CONCLUSION AND FUTURE WORK • Wireless charging vehicle simulator (WCVS) is designed and implemented • Researchers can set up some basic parameter and give the charging point list and WCVS will do the rest of the work • Determining when the vehicle should be out on filed and when to stay at service station • Giving alerts when the nodes’ battery level drop below minimum level The next step for WCVS is to equip itself with a more powerful GUI to display the simulation process real-timely and support more IEEE wireless network standard.
  • 23. REFERENCES [1] Y. Shi, L. Xie, Y. Hou, and H. Sherali, “On renewable sensor networks with wireless energy transfer,” in IEEE International Conference on Computer Communications (INFOCOM 2011), pp. 1350-1358, April 2011. [2] Yang Peng, Zi Li, Wensheng Zhang and Qiao, D., “Prolonging Sensor Network Lifetime Through Wireless Charging,” in Real-Time Systems Symposium (RTSS), pp. 129 - 139, December 2010. [3] Hui Wang, Agoulmine, N., Maode Ma, and Yanliang Jin, “Network lifetime optimization in wireless sensor networks,” in IEEE Journal on Selected Areas in Communications focuses on all telecommunications, including telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, Vol. 28, No.7, pp. 1127-1137, September 2010. [4] Asorey-Cacheda R, Garca-Snchez AJ, Garca-Snchez F, Garca-Haro J, and Gonzlez-Castano FJ, “On Maximizing the Lifetime of Wireless Sensor Networks by Optimally Assigning Energy Supplies,” in Sensors 2013, August 2013. [5] Bulent Tavli , Mehmet Kayaalp, Onur Ceylan, and Ibrahim E. Bagci, “Data processing and communication strategies for lifetime optimization in wireless sensor networks,” in International Journal of Electronics and Communications, May 2008. [6] Juliano V. Quaglio, Tetsu Gunji, and Celso M. Hirata, “Extending NCTUns simulator to support Mobile Networks,” in Proceedings of the 2nd International Conference on Simulation Tools and Techniques (Simutools 2009), No.2, March 2009. [7] Tony Ducrocq, Nathalie Mitton, and Michael Hauspie, “Energy-based Clustering for Wireless Sensor Network Lifetime Optimization,” in Wireless Communication and Networking Conference (WCNC 2013), pp. 968 - 973, Apr 2013. [8] A. Kurs, A. Karalis, R. Mottk, J. D. Joannopoulos, P. Fisher, and M. Soljacic, “Wireless power transfer via strongly coupled magnetic resonances,” in Science, July 2007. [9] Ho, S.L, Junhua Wang, Fu, W.N., and Mingui Sun, “A Comparative Study Between Novel Witricity and Traditional Inductive Magnetic Coupling in Wireless Charging,” in IEEE Transactions on Magnetics, Vol. 47, No. 5, pp. 1522-1525, April 2011. [10] [Online]. Available: http://www.moeaframework.org/ [11] X. Liu and S. Y. R. Hui, “Simulation study and experimental verification of a contactless battery charging platform with localized charging features,” in IEEE Transactions on Power Electron, Vol. 22, No. 6, pp. 2202-2210, 2007. [12] Xie, L., Shi, Y., Hou, Y. T. and Sherali, H. D., Making Sensor Networks Immortal: An Energy-Renewal Approach With Wireless Power Transfer, IEEE/ACM Transactions on Networking, pp. 1748 - 1761, December 2012.