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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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Outline
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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Introduction
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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Problem Formulation: Minimum
Energy Consumption
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 dis
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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 Ei is the total available energy
Emin is minimum residual energy below which nodes stop
transmitting
Zi 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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Solution
SIMPLE: Stable Increased Throughput Multi-hop
Link Efficient Protocol For Wireless Body Area
Networks (WBANs)
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Node Deployment
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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
Simulation Results
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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
Throughput is the number of packets received successfully
at sink
More alive nodes contribute towards higher network
throughput
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Path loss
Multi-hop topology minimizes the Path loss
Direct distant communication causes maximum path loss
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Path Loss Model
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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Conclusion
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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References
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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