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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
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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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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
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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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