Simulation Analysis of the MH-TRACE Protocol. Bora KARAOGLU
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1 Simulation Analysis of the MH-TRACE Protocol Bora KARAOGLU 1
2 Agenda TRACE Family Protocol Overview Parameter Optimization for MH-TRACE 2
3 Agenda TRACE Family Protocol Overview Parameter Optimization for MH-TRACE 3
4 TRACE Family Objective: Energy efficient voice communications in MANETs. Projected Applications: Mobile Groups (Military, Police) Sensor networks Emergency or disaster relief situations 4
5 TRACE Family SH-TRACE: Time-frame based MAC protocol for singlehop networks MH-TRACE: Extension for Multi-hop Networks NB-TRACE: Extension for Network wide Broadcasting MC-TRACE: Unicasting and Multicasting MR-TRACE: Multi-rate data transfer 5
6 Agenda TRACE Family Protocol Overview Parameter Optimization for MH-TRACE SMAC& Comparison 6
7 Protocol Overview Superframe 7
8 Protocol Overview Superframe Frame(s) Beacon: For synchronization and announcement of CH Contention Slots: Slotted ALOHA with small packages to request channel access. Header: Announce channel access by CH. IS Slots: Information summarization by nodes transmitting 8
9 Protocol Overview CH Creation 9
10 Protocol Overview Carrier Sensing vs Receiving Distance vs Received Power Received Power Distance Received Power Receiving Threshold Carrier Sensing Threshold 10
11 Protocol Overview CH Maintenance 11
12 Agenda TRACE Family Protocol Overview Parameter Optimization for MH-TRACE 12
13 Parameter Optimization for MH-TRACE Aim: To formulate the behavior of MH-TRACE under different scenarios Number of Frames/Superframe Density of Nodes Packet generation rate Simulations 1000mX1000m area 100sn simulation length 5 Simulations for each node density and Nf 13
14 14 Parameter Optimization for MH-TRACE
15 Parameter Optimization for MH-TRACE 15 Smaller Nf -> Smaller co-frame cluster seperation Beacon Packet collision Intermediate nodes hear no CH and start CH formation process Increased # of Nodes-> Larger area coverage After 100 nodes start to saturate Total Number of clusterheads - 50nodes 75nodes 100nodes 125nodes 150nodes 200nodes 250nodes Number of Frames
16 Parameter Optimization for MH-TRACE Smaller Nf -> Smaller co-frame cluster seperation Beacon Packet collision Intermediate nodes hear no CH and start CH formation process Increased # of Nodes-> Larger area coverage After 100 nodes start to Average number of clusterheads per frame - 50nodes 75nodes 100nodes 125nodes 150nodes 200nodes 250nodes saturate Number of Frames 16
17 Parameter Optimization for MH-TRACE Linearly increasing load on the network ms=1.0s mg=1.35s ms/(ms+mg) * (#nodes)~= Avg # of trns pckts/frame/node Av # of trans pcks/frame by the agent layer - 50nodes 75nodes 100nodes 125nodes 150nodes 200nodes 250nodes Number of Frames 17
18 Parameter Optimization for MH-TRACE Data collisions increase as Nf is increased As average node density is increased each data collision effects more nodes Total Number of Data Collisions - per superframe 50nodes 75nodes 100nodes 125nodes 150nodes 200nodes 250nodes Number of Frames 18
19 Parameter Optimization for MH-TRACE Data collisions increase as Nf is increased As average node density is increased each data collision effects more nodes Data Collisions per (Reception+Collision) 50nodes 75nodes 100nodes 125nodes 150nodes 200nodes 250nodes Number of Frames
20 Parameter Optimization for MH-TRACE Nf is increased, less data slots are available for each frame. Especially for high node densities dropped packets increase as Nf is increased Total Number Of Late Packets Dropped by the MAC layer - per superframe 50nodes 75nodes 100nodes 125nodes 150nodes 200nodes 250nodes Number of Frames 20
21 Parameter Optimization for MH-TRACE Nf is increased, less data slots are available for each frame. Especially for high node densities dropped packets increase as Nf is increased Dropped packets/total Number of Generated Packets 50nodes 75nodes 100nodes 125nodes 150nodes 200nodes 250nodes Number of Frames 21
22 Parameter Optimization for MH-TRACE 22 Collision Edge effects Node Density Avg. Number of Neighbors Receptions per Transmission Number of Frames 50node 75node 100nod 125nod 150nod 200nod 250nod
23 Parameter Optimization for MH-TRACE 23 Each dropped packet decreases the throughput by the number of neighbor nodes fdrop= (Avg # of Neigbors) * (# of dropped pckts) A trade-off between dropped packets and collisions must be done nodes 75nodes 100nodes 125nodes 150nodes 200nodes 250nodes fdrop per superframe -500 for high throughput Number of Frames
24 Parameter Optimization for MH-TRACE nodes fdrop fcoll floss nodes fdrop fcoll floss Average Packet Loss Average Packet Loss Number of Frames Number of Frames 24
25 Parameter Optimization for MH-TRACE Contention is not severe for small node densities As Node density is increased The variation becomes more important Traffic (# of received packets by the Agent Level) - per superframe 50nodes 75nodes 100node 125node 150node 200node 250node Number of Frames
26 Parameter Optimization for MH-TRACE Constant Delay wrt Nf Node Density nodes 75nodes Average packet delay in the agent layer- 100nodes 125nodes 150nodes 200nodes 250nodes Number of Frames
27 Parameter Optimization for MH-TRACE Higher the throughput, higher the energy dissipation Network energy dissipation per frame - 50node 75node 100nod 125nod 150nod 200nod 250nod Number of Frames 27
28 Parameter Optimization for MH-TRACE Higher the throughput, higher the energy dissipation Average Node Energy - 50nodes 75nodes 100nodes 125nodes 150nodes 200nodes 250nodes Number of Frames
29 CONCLUSION MH-Trace provides a high throughput MAC layer protocol for real time packet broadcasting. Combination of distributed and centralized network structure. 29
30 Agenda TRACE Family Protocol Overview Parameter Optimization for MH-TRACE 30
31 Thanks for Listening Questions&Comments? 31
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