Exploiting spatial diversity for routing in sensor networks

1 / 10
About This Presentation
Title:

Exploiting spatial diversity for routing in sensor networks

Description:

Exploiting spatial diversity for routing in sensor networks. Rahul C. Shah, ... Rin. Annulus: Angle of opening ( max) Inner radius (Rin) Rin. Lens: ... –

Number of Views:42
Avg rating:3.0/5.0
Slides: 11
Provided by: rcs3
Category:

less

Transcript and Presenter's Notes

Title: Exploiting spatial diversity for routing in sensor networks


1
Exploiting spatial diversity for routing in
sensor networks
  • Rahul C. Shah,
  • Prof. Adam Wolisz Prof. Jan Rabaey
  • BWRC Summer Retreat 2003

2
Multipath routing a typical example
  • Why does this occur?
  • Fading channel
  • Inter-packet times are longer than the channel
    coherence time
  • Fast channel changes need adaptation at MAC,
    rather than network layer
  • ?Cross-layer routing design!

3
Routing at the MAC layer?
Path-based routing Network specifies next hop
One-hop neighbors
  • List-based routing
  • Network specifies forwarding region
  • MAC chooses next-hop based on connectivity

Forwarding region
4
Model assumptions
  • Uniform random distribution of nodes
  • Circular disk model for radio range
  • Channels to all nodes are completely independent
  • All nodes have identical probability of
    successful transmission
  • Every transmission takes an identical amount of
    energy
  • The optimization metric is the total number of
    transmissions

5
Forwarding region
Open question What is the optimal forwarding
region?
6
Parameter optimization
? 0.1
Optimum angle (degrees)
Probability of packet success
7
Comparison of forwarding regions
Avg. of transmissions (end-to-end)
Rmax 10m D 100m ? 0.05
Probability of packet success
8
Location uncertainty
Radial uncertainty model
Actual position
?Rmax
Perceived position equally likely in circle. Rmax
is the maximum radio range
  • Nodes inside forwarding region perceive they are
    outside
  • Nodes outside forwarding region perceive they are
    inside

9
Progress with location uncertainty
Avg. progress towards destination (m)
Sector-based routing Rmax 10m
Uncertainty factor (?)
10
Conclusions future work
  • Perfect location information
  • Energy and delay analysis for different
    forwarding regions
  • Optimal forwarding region
  • Location uncertainty
  • Performance of different forwarding regions
  • Using 2nd hop neighbor information effectively
  • Protocol issues
  • Transmitter vs. receiver based MAC
  • Design efficient protocol based on the scheme
  • Simulation implementation of the protocol
  • Can duty cycling with opportunistic routing
    achieve network lifetime goals?
Write a Comment
User Comments (0)
About PowerShow.com