Title: An Implementation Framework for Trajectory-Based Routing in Ad Hoc Networks
1An Implementation Framework for
Trajectory-Based Routing in Ad Hoc Networks
- Murat Yuksel, Ritesh Pradhan, Shivkumar
Kalyanaraman - Electrical, Computer, and Systems Engineering
Department - Rensselaer Polytechnic Institute, Troy, NY
2Outline
- Motivation
- Overview of Trajectory-Based Routing (TBR)
- Bezier Curves for TBR
- Forwarding Algorithms for TBR
- Long/Complex Trajectories
- Contributions
- Future Work
3Motivation
TE is essential for ad hoc networks
Proactive routing does NOT work!
- Wireless ad hoc networks
- An emerging part of our technology, e.g. laptops,
PDAs, watches, cars, - Very scarce resources e.g. capacity, power,
memory - Traffic engineering requires flexibility in
routing - Multi-path capability
- Major issues
- Ad hoc nature of nodes
- Mobility
- Dynamic topology causes continuous update to
routing tables.
TE in ad hoc networks require new routing
building blocks
4Motivation (contd)
- Why TBR is a viable routing building block for
TE? - Multi-path capability in a wireless, multi-hop,
ad hoc environment - Possible application to p2p with virtual
geographic locations
5Motivation (contd)
- Application-specific requirements
- particularly important for sensor networks
- Area of interest
- Take pictures of the lake
- Measure temperature around an experimental area
- Area of disinterest
- Route secure info around the unsafe area
- Route more traffic around the congested area
6Overview of TBR
- Source Routing (SR)
- Source inserts all the route into each packet,
e.g. SBR, DSR. - Very flexible for applications, but causes too
large packet headers. - Greedy Routing (GR)
- Each packet is forwarded to the neighbor closest
to the destination, e.g. FACE, Greedy Perimeter
Stateless Routing (GPSR), Cartesian Routing (CR). - Fixed-size, short packet headers, but not
flexible for applications. - Trajectory-Based Routing (TBR)
- Proposed by a group from Rutgers University.
- Represents the whole path as a parametric curve
and encodes it into each packet.
7Overview of TBR (contd)
- TBR is a geographic routing protocol, and
requires a positioning service - TBR is a middle-ground between SR and GR.
- Since a parametric curve can form any path (e.g.
circle, straight line, curly lines), it gives
more flexibility for the source to define the
path. similar to SR - Since the intermediate nodes decode the
trajectory, they do not have to keep state.
similar to GR
Source Routing i.e. flex, large header
Greedy Routing i.e. no header or state, but no
flex
Trajectory-Based Routing
8Overview of TBR (contd)
- So, how does it work?
- What happens when a packet travels in the network?
D
S
- How to encode the trajectory into packets
headers?
9Bezier Curves for TBR
- Can we use Bezier curves?
- Cubic Bezier curves
- 2 control pts source destination
- easy to handle.
- Represented in parametric form
Q(1) is the destination point
Q(0) is the source point
10Bezier Curves for TBR (contd)
- If (x0,y0), (x1,y1), (x2,y2) and (x3,y3) are
known, then the constant vectors A, B C can be
calculated as - Given that
- Each packet header contains locations of source
(x0,y0), destination (x3,y3) and control points
(x1,y1), (x2,y2). - Each node maintains neighbor table.
- So, when a packet arrives, each node
- Decodes the trajectory by performing the above
calculations - Figures out which neighbor to forward the packet,
based on forwarding strategy. - What is a viable forwarding strategy?
11Forwarding Algorithms for TBR
- Terminology
- di closest distance of node Ni to the curve
- ti time parameter at the point where node Ni is
closest to the curve time of node Ni
- The time ti of node Ni can also be interpreted as
projection of the node on the curve. - neighbor of Ni nodes that are in transmission
range of Ni and have a time greater than ti.
12Forwarding Algorithms for TBR (contd)
- Random - randomly forward to one the neighbors
- Closest-To-Curve (CTC) - to the neighbor with
smallest distance to the curve. - Least Advancement on Curve (LAC) to the
neighbor with smallest time on the curve.
13Forwarding Algorithms for TBR (contd)
- Several other algorithms are possible..
- CTC-LAC to the neighbor with smallest time but
also stands within a predefined distance from the
curve. - Most Advancement on Curve (MAC) to the neighbor
with largest time. - CTC-MAC to the neighbor with highest time but
also stands within a predefined distance from the
curve. - Failure cases are possible..
14Forwarding Algorithms for TBR (contd)
15Forwarding Algorithms for TBR (contd)
16Forwarding Algorithms for TBR (contd)
- Lowest Deviation from Curve (LDC) node forwards
to its neighbor with lowest deviation from curve.
- Deviation deviated area from the curve per unit
curve distance, i.e.
17Forwarding Algorithms for TBR (contd)
- Lowest Deviation from Curve (LDC)
- Area calculations are computationally intensive.
- Can be approximated by numerical techniques.
- Slice the area by parallel lines similar to
Riemann Sums in numerical integration
18Simulation Results
- NS-2
- Area 250mX500m
- Different trajectories
- Circular
- Zigzag
- No mobility yet
19Simulation Results (contd)
- Deviation from the circular trajectory
20Simulation Results (contd)
- Normalized path length on the circular
trajectory
21Simulation Results (contd)
- Deviation from the zigzag trajectory
22Long/Complex Trajectories
- How to encode long/complex curves?
- longer curve ? larger packet header
- Split the curve into simpler pieces
- Each piece could be represented by a cubic Bezier
curve - The complete trajectory is concatenation of the
pieces.
- Source performs signaling and sends a control
packet that include - end locations of the cubic Bezier curves, i.e.
Intermediate Point (IP) - all the control points
- The nodes closest to the IPs will be the Special
Intermediate Nodes (SINs).
23Long/Complex Trajectories
- How to encode long/complex curves?
- longer curve ? larger packet header
- SINs (i.e. I1, I2) do special forwarding.
- Store the next Bezier curves control points
- Update the packet headers with that of the next
Bezier curves control points
24Contributions
- Our contributions
- An architecture to deploy TBR for long/complex
trajectories. - A locally optimal forwarding strategy Lowest
Deviation from Curve (LDC) - A method of encoding/decoding trajectories by
using Cubic Bezier curves. - A simulation-based evaluation of several
forwarding strategies.
25Future Work
- Our ongoing work on TBR
- A testbed deployment in RPI-CWN.
- Calculation of optimal curve to avoid certain
spots. - Finding optimal route for a given trajectory with
global topology knowledge. - Future work on TBR
- Optimal split of long/complex trajectories.
- Analysis of the signaling overhead in mobile
environments. - Hybrid trajectory encoding techniques frequency
and space-time - Resilience techniques for different forwarding
strategies.
26THE END
Thank you!