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Trajectory Based Forwarding

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Presentation on theme: "Trajectory Based Forwarding"— Presentation transcript:

1 Trajectory Based Forwarding
Group 2 Andrew Doherty, Aaron Wroblewski, Raghav Chawla Raghav

2 Introduction Dynamic Source Routing (DSR)
High Overhead in Dynamic, Dense, Low Power Sensor Networks TBF Combines DSR with Cartesian Forwarding Source Specifies a continuous path, and then nodes forward based on distance from the path Trades Communication for Computation Raghav

3 Background and Motivation
Advances in MEMS technology allow for large scale, highly dense ad-hoc sensor networks Smartdust, disposable networks, etc Wireless Sensor Networks face different problems than Wired Networks Potentially millions of nodes Battery life, mobility of nodes, sleeping nodes Raghav

4 The Problem Statement Problem: How can we efficiently forward packets in a dense ad-hoc network, while dealing with issues of scalability and a dynamic network topology? Previous Approaches Source based routing has problem of packet overhead increasing with path length Cartesian routing defines a single forwarding policy: greedy, along a straight line Raghav

5 General Overview TBF is a hybrid between Source Based Routing and Cartesian Forwarding S Andrew D D

6 Forwarding Methods “Minimum Deviation” (N2) MFR (N4)
Centroid of the Set (N3) Most Battery Left Random Andrew

7 Applications of TBF Unicast Routing Multipath Routing Mobility
Discovery Broadcasting Multicast Aaron

8 Adverse Conditions Sparse Networks Imprecise Locations Loop Method
Alternatives to Positioning (GPS) LPS – Local Positioning System DV-Hop Aaron

9 Performance Evaluation Model
Simulations were run to test: Unicast Routing and Discovery Broadcasting Location Data Dependence Aaron

10 Unicast Routing and Discovery
Andrew

11 Naïve Broadcasting Andrew

12 Optimized Broadcast Andrew

13 Exploring Location Data
Aaron

14 Location Data Dependence
Deviation decreases with density Small difference in deviation between routing with warped or true positions Warped network not always longer TBF robust in face of realistic corruptions of node positioning Aaron

15 Related Work “Position Centric” Routing “Node Centric” Routing
Routers responsible for polygonal regions Cartesian Routing LAR (Location Aided Routing) “Node Centric” Routing DSR (Dynamic Source Routing) Terminode Routing “Data Centric” Routing Routing driven by Interests Aaron

16 Critique Research is still being performed on determining, specifying and modifying trajectories Source needs copious information about network topology to design a path Lack of performance comparison to other protocols Raghav

17 Summary and Conclusions
TBF is an optimized hybrid of Cartesian Forwarding and Source Based Routing Trades off Communication for Computation Robust in Adverse Conditions such as Sparse Networks and Imprecise Positioning Raghav


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