"WWRF12 Meeting,"
WWRF12 Meeting,
4-5 November 2004,
Toronto, Canada

Introduction
Routing in wireless Ad Hoc network
Proactive (DSDV)
Reactive (DSR, AODV)
Problems in Reactive Routing Protocols
Finding the shortest path between sender and receiver by flooding the requests
Shortest path leads to network congestion in central areas
Caching mechanisms for storing the routes causes the traffic load to concentrate on certain nodes
Traffic load is unevenly distributed

Capacity
Estimation
Theoretical estimation for per node capacity is given by P. Gupta et al.
A simple estimation is geometrically given as:

Capacity
One example
The 1500*1500 m*m network with 550 m interference range can have capacity around 2.36*K Mbps. If K = 2 Mbps, the capacity of the network is around 4.72 Mbps.
The utilization measured from simulations:

Traffic Balancing
Why Traffic Balancing?
Unevenly distributed traffic waste bandwidth
Congestion cause long backoff period
Fundamental Idea:

Traffic Balancing
Implementation
Two parameters and one counter:
the medium usage threshold
the measurement time period
overThresholdCounter
Functions:
For the router: Upon receiving a route request, checking the medium usage. If the medium usage is over the medium usage threshold, the node increases the overThresholdCounter by one.
For the sender: Upon receiving the route replies, the sender chooses the route with the smallest overThresholdCounter. If more than one path has the same smallest overThresholdCounter, the one with fewer hops is chosen. If more than one path has the same overThresholdCounter and the same number of hops, the sender randomly chooses one.

Simulation Results
Simulation Environment
Network Simulator 2 (NS2)
IEEE 802.11 MAC
Constant Bit Rate Traffic (CBR)
100 nodes

Simulation Results
Results (network size 1000*1000 m*m):

Simulation Results
Medium Threshold

Conclusion
System throughput is improved by routing traffic away congested area
Traffic Balancing collects more information during route discovery
System resources is used efficiently in two aspects:
Bandwidth in edge area of network
Bandwidth saved from backoff period

Future Work
Adaptive Traffic Balancing
Dynamic Medium Threshold
Dynamic Measurement Period
Physical Layer Model
Traffic Model
Wireless Mesh Network