SURESENSE: SUSTAINABLE WIRELESS RECHARGEABLE SENSOR NETWORKS FOR THE SMART GRID
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Transcript of SURESENSE: SUSTAINABLE WIRELESS RECHARGEABLE SENSOR NETWORKS FOR THE SMART GRID
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SURESENSE: SUSTAINABLE WIRELESS RECHARGEABLE
SENSOR NETWORKS FOR THE SMART GRID
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PRESENTED BYAHMAD SHAWAHNA (201206920)
COURSE INSTRUCTOR: DR. MUHAMED MUDAWAR
PRESENTED ON : 19-March-2014COE-599
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AGENDA Introduction – WSN and Smart
Grid Challenges using WSN in Smart
Grid Problem Statement Related Research Working Mechanism Results and Discussion
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INTRODUCTION
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WIRELESS SENSOR NETWORK5
What it is ? A group of tiny, typically battery-
powered devices and wireless infrastructure
What are the components ? One or more sensors, embedded
processors and low-power radios, and is normally battery operated
What it does ? Monitor and record conditions of
different environment Sends data to back end system for
analysis
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SMART GRID6
Electricity distribution system with Application of computer intelligence Networking abilities
Constant device status monitoring needed to improve Operations Maintenance Planning
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SMART GRID [cont.]7
Increase energy and operational productivity
Increase power reliability and quality
Electrical infrastructure
Information infrastructure
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CHALLENGES8
Limited Battery LifetimeLower speed Intruders may snoop Complexity of logistics Selective Node ReplacementEffect of Noise
Reliable SMART
GRID lacks accurate
and robust monitoring
.
Solution: Diagnosis Tool (WSN)
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Problem Statement
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Problem Statement Sensor battery lifetime Low data rate communication Landmark Selection Cluster Formation Shortest Path Selection
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RELATED RESEARCH
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RELATED RESEARCH [1]12
Wireless Multimedia Sensor and Actor Networks for the Next-Generation Power GridWireless Sensor Networks for Cost- Efficient Residential Energy Management in the Smart GridBy Erol-Kantarci, Melike, and Hussein T. Mouftah. Wireless Communications, IEEE 19.3 (2012): 30-36.
Purpose• Exploring the opportunities of the WSN technology in different areas
Solution• IEEE 802.15.4
based WSN application.
Features• Reduce the
electricity expenses of the consumer
• ToU (Time of Use) information
• Usage of roof top solar panel
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RELATED RESEARCH [2]13
Routing and Link Layer Protocol Design for Sensor Networks with Wireless Energy TransferBy R. D. Mohammady, K. Chowdhury, and M. Di Felice, IEEE GLOBECOM, Miami, Dec. 2010.
Purpose• Determining optimal charging and transmission cycle in WSN
Solution• Modified AODV
protocol
Features• Charging Time
parameter• Forwarding
path determined based on time of charging.
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RELATED RESEARCH [3]14
Joint Mobile Energy Replenishment and Data Gathering in Wireless Rechargeable Sensor NetworksBy M. Zhao, J. Li, and Y. Yang, Proc. 23rd Int’l. Teletraffic Congress, Sept. 6–8, 2011, San Francisco, USA.
Purpose• Energy transmission via Magnetic Resonance.
Solution• SenCar with high capacity rechargeable battery
• DC/AC converter and a resonant coil
Features• Subset of nodes selection based on urgent charge necessity.
• Information collection from network in parallel with charging the subsets.
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RELATED RESEARCH [4]15
On Renewable Sensor Networks with Wireless Energy Transfer By Shi, Yi, et al. INFOCOM, 2011 Proceedings IEEE. IEEE, 2011.
Purpose
• Renew sensor battery lifetime
Solution
• Charging batteries such that the minimum available energy is higher than a threshold
• Optimal travelling path selection using hamiltonian cycle
Features
• Wireless Charging Vehicle
• Vacation Time • Cycle Time
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Working Mechanism
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RF Energy Transmission17
Received power is inversely proportional to
Remote nodes from the Robot will get less energy compared to the closer ones
Circular disk model for wireless power propagation
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Landmark Selection18
The number of landmarks should be minimized Integer Linear Programming (ILP) model
CPLEX to determine the landmark locations by solving the ILP formulation
The number of landmarks in each cluster depends on the demand intensity Di
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Clustering and Path Selection19
landmarks are grouped based on their proximity to the docking stations of the MICROs
each MICRO is assigned one cluster of landmarks Hamiltonian cycle to achieve optimal path selection
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Minimum power availability of theMICRO
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Harvester energy is limited The total supply of the harvester should be greater than
or equal to the energy requirement of the sensors
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MOBILE CHARGER SCHEME21
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Experimental Setup22
No of sensor nodes: 50 Distribution: Random Field Size: 100 Square Meter No of MICROs: 4 Docking Station Position: At the corners of the field CPLEX: Determines the landmark locations using ILP MICRO battery capacity: 20 KJ Wireless energy transfer range: 2 meter
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Performance Evaluation23
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Performance Evaluation24
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