Download presentation
Presentation is loading. Please wait.
1
Adaptation of TDMA Parameters Based on Network Conditions Bora Karaoglu Tolga Numanoglu Wendi Heinzelman Department of Electrical and Computer Engineering University of Rochester, NY, USA Bora Karaoglu Tolga Numanoglu Wendi Heinzelman Department of Electrical and Computer Engineering University of Rochester, NY, USA
2
Motivation Capacity Each tx occupies some part of the capacity
3
Motivation Clustering approach: Divide into a number of chunks CHs use chunks Question? How many chunks? Work summarized in: Analytical model Optimization
4
Agenda Protocol Overview: MH-TRACE Analytical Model Dropped Packets Collisions Proof of Concept Optimization of TDMA parameters
5
Multi-Hop Time Reservation Using Adaptive Control for Energy Efficiency TDMA Soft clustering CHs responsible for channel access only Inter cluster communication is allowed TDMA Soft clustering CHs responsible for channel access only Inter cluster communication is allowed N f = 6
6
Protocol Overview: MH-TRACE Factors limiting performance: Dropped Packets Real-time communication Limited Local Capacity Clustering Uneven distribution of Load Node Distributions Mobility Collisions Spatial Reuse Limited capacity Divisions
7
Agenda Protocol Overview Analytical Model Dropped Packets Collisions Proof of Concept Optimization of TDMA parameters
8
Analytical Model Shortcomings of Simulations Substantial Processing Power and Time Repetitions for statistical accuracy Valid only for the parameters set used Scalability of Simulation Area Edge Effects Shortcomings of Simulations Substantial Processing Power and Time Repetitions for statistical accuracy Valid only for the parameters set used Scalability of Simulation Area Edge Effects
9
Dropped Packets Probability of Dropping a Packet Capacity per Cluster: Number of Data Slot per Frame Nonlinear relation between Load and P dp Detailed probability distribution of Load is needed
10
Dropped Packets P s : Ratio of number of nodes in spurt to all nodes Voice Activity Detector N CH : Number of CHs each node can receive access from N CM : Number of nodes in the Cluster
11
Dropped Packets Effect of Dropped Packets on Throughput Considering Rx Throughput Each node all one hop neighbors
12
Collisions Number of frames (N f ) vs. co-frame CH separation (d ch ) Labeling structure used in cellular systems Co-frame CH separation (d ch ) vs. number of collisions ( f coll ) Correlation between Number of Nodes that can cause collisions Number of Collisions
13
Agenda Soft Clustering Approaches Protocol Overview Analytical Model Dropped Packets Collisions Proof of Concept Optimization of TDMA parameters
14
Proof of Concept Number of Packets Lost per Superframe (N f = 6)
15
Proof of Concept Number of Packets Lost per Superframe (N f = 8)
16
Agenda Protocol Overview Analytical Model Dropped Packets Collisions Proof of Concept Optimization of TDMA parameters
17
Optimization of TDMA parameters optimization with corresponding throughput figures with respect to the maximum realizable throughput Theoretically Optimized N f
18
Conclusions and Future Work The model Accurate Can be used in optimization of parameters Instantaneous results for changing Transmission Power Propagation Model PHY Specs: Freq, Threshold values … Asymptotic behavior Energy consumption Average node sleep/awake durations Average energy consumption per node Node and CH comparison wrt energy consumption Optimization of Nf wrt energy consumption We are going to add effects of upper layers into the model
19
Thanks! Questions&Comments? Contact Info: Web: www.ece.rochester.edu/~karaoglu/www.ece.rochester.edu/~karaoglu/ E-mail : karaoglu@ece.rochester.edukaraoglu@ece.rochester.edu Thanks! Questions&Comments? Contact Info: Web: www.ece.rochester.edu/~karaoglu/www.ece.rochester.edu/~karaoglu/ E-mail : karaoglu@ece.rochester.edukaraoglu@ece.rochester.edu
20
PHY Layer Abstraction BW Each tx occupies some part of the BW Transmissions should overcome any noise present in the space of the BW Divide Spatial reuse
21
PHY Layer Abstraction TDMA: Divide BW along time axis Clustering: Distribute parts of BW spatially among clusters
22
Protocol Overview TDMA Soft Clustering CHs responsible for channel access only Inter cluster communication is allowed
23
Analytical Analysis Shortcomings of Simulations Substantial Processing Power and Time Repetitions for statistical accuracy Valid only for the parameters set used Scalability of Simulation Area Edge Effects
24
Analytical Analysis Factors limiting performance: Dropped Packets Real-time communication Limited Local Capacity Clustering Uneven distribution of Load Node Distributions Mobility Collisions Spatial Reuse Limited BW Divisions
25
Dropped Packets Probability of Dropping a Packet Capacity per Cluster: Number of Data Slot per Frame Nonlinear relation between Load and P dp Detailed probability distribution of Load is needed
26
Dropped Packets p s : Probability of a node to be in spurt duration p A : Probability of a node to be in the communication range of a CH p d : Probability of a node that is in the communication range of a CH to choose that CH as its channel access provider Independent of Node Density assumed constant
27
Dropped Packets p s : Probability of a node to be in spurt duration p A : Probability of a node to be in the communication range of a CH p d : Probability of a node that is in the communication range of a CH to choose that CH as its channel access provider p dn = p s p A p d
28
Collisions Number of frames (N f ) vs. co-frame CH separation(d ch ) Labeling structure used in cellular systems
29
Collisions co-frame CH separation (d ch ) vs. number of collisions ( f coll )
30
Collisions co-frame CH separation (d ch ) vs. number of collisions ( f coll ) N nCH : Expected number of nodes in the cluster N n : Total number of nodes N C : Number of cluster in 2*r comm range V : Region bounded by the circle with radius 2*r comm around origin fcoll : number of packets lost per SF due to collision
31
Agenda Soft Clustering Approaches Protocol Overview Analytical Analysis Dropped Packets Collisions Proof of Concept Optimization of TDMA parameters
32
Proof of Concept Total Number of Packets Lost per Superframe
33
Proof of Concept RX Throughput per Superframe
34
Agenda Soft Clustering Approaches Protocol Overview Analytical Analysis Dropped Packets Collisions Proof of Concept Optimization of TDMA parameters
35
Optimization of TDMA parameters
36
Other Uses of the Model Instantaneous Analysis Results for changing Transmission Power Propagation Model PHY Specs: Freq, Threshold values … Asymptotic Behavior Energy Consumption Average node sleep/awake durations Average energy consumption per node Node and CH comparison wrt energy consumption Optimization of Nf wrt energy consumption
37
Throughput Per Node
38
Energy Consumption per Node
39
Thanks! Questions&Comments?
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.