SIMPLE: Stable Increased
Throughput Multi-hop Link Efficient
Protocol For WBANs
Qaisar Nadeem
Department of Electrical Engineering
Comsats Institute of Information Technology
Islamabad
Sep 07, 2013
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Introduction
Motivation
Mathematical Formulation of the Problem
Node deployment
SIMPLE: Stable Increased Throughput Multi-hop Link
Efficient Protocol For WBANs
Initial phase
Selection of forwarder
Scheduling
Radio Parameters
Simulation Results
Path Loss Model
Conclusion
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WBAN is sub-field of WSNs
The primary target applications of WBANs are medical health-care services
WBANs offer early detection/treatment of diseases, thereby reducing health-care costs
WBANs capture accurate and quantitative data from a variety of sensors (e.g., temperature, blood pressure, heart rate, etc.)
Sensors are placed on the human body or in the body
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Motivation
Nodes in WBANs are required to operate under strict resource Constraints
Impossible to replace batteries
Frequent recharging procedure is one of the main obstacles in WBANs
Porting routing solutions from WSNs to WBANs is problematic due to the different network architectures and operating conditions
Efficient routing solutions should be designed specifically for WBANs
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Let N is the set of nodes, f is the forwarder node and sink S
C is the capacity of the wireless link
The data generated by sensors is denoted by d is
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Problem Formulation: Minimum
Energy Consumption
Objective Function
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Problem Formulation: Minimum
Energy Consumption
Subject to:
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Problem Formulation: Throughput
Maximization
Let E i is the total available energy
E min is minimum residual energy below which nodes stop transmitting
Z i is a 0-1 integer
The wireless channel capacity is represented by C
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Problem Formulation: Throughput
Maximization
Objective Function
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Problem Formulation: Throughput
Maximization
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SIMPLE: Stable Increased Throughput Multi-hop
Link Efficient Protocol For Wireless Body Area
Networks (WBANs)
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SIMPLE: Stable Increased Throughput
Multi-hop Link Efficient Protocol For
WBAN
Initial Phase
Selection of Forwarder Node
Scheduling
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Initial Phase
Sink broadcasts its location through short information packet
Sensor nodes store the location of sink
Each sensor transmits short information packet to sink which contains node ID, its residual energy and location
Sink broadcasts information to all sensors
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Selection of Forwarder Node
Minimum cost function value is used to select optimal data forwarder
A node with high residual energy and less distance to sink has minimum cost function
Cost Function (i) = distance (i) /Residual Energy (i) (5)
Cost function value ensures new forwarder in each round
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Scheduling
Forwarder node assigns TDMA schedule to its children node
Children nodes transmit their data in allocated time slot
TDMA scheduling saves energy of sensor nodes.
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Energy Parameters
Two commercially available transceivers [3]
Energy equation
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iM-SIMPLE: Improved Stable
Increased Throughput Multi-hop Link
Efficient Protocol For WBAN
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Network lifetime
Increase in stability period due to appropriate selection of forwarder node in each round
Balanced energy consumption among all nodes in stable region
Chain formation in M-ATTEMPT causes nodes to deplete more energy
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Residual Energy
Nodes utilize less energy in stability period
Nodes consume energy faster in unstable region
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Throughput is the number of packets received successfully at sink
More alive nodes contribute towards higher network throughput
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Multi-hop topology minimizes the Path loss
Direct distant communication causes maximum path loss
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Path Loss is the difference between transmitted power and received power
Where,
PL = Path loss d = Distance between transmitter and receiver do = Reference distance n = Path loss coefficient
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Stable and high throughput routing protocol for
WBANs
A node with minimum cost function is selected as forwarder
Cost function is based on residual energy of nodes and its distance from sink
Node with high residual energy and less distance to sink has minimum value of cost function
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Questions
Thank you!
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1: J. Elias and A. Mehaoua, “Energy-aware topology design for wireless body area networks,” in Communications (ICC), 2012
IEEE International Conference on, pp. 34093410, IEEE, 2012
2: N. Ababneh, N. Timmons, and J. Morrison, “Cross-layer optimization protocol for guaranteed data streaming over wireless body area networks,” in Wireless Communications and
Mobile Computing Conference (IWCMC), 2012 8th
International, pp. 118123, IEEE, 2012.
3: Reusens, Elisabeth, et al. ”Characterization of on-body communication channel and energy efficient topology design for wireless body area networks.” Information Technology in
Biomedicine, IEEE Transactions on 13.6 (2009): 933-945.
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