comb-needle hotspot evaluation

In Wireless Sensor Networks(WSNs), comb-needle(CN) model has been used for information discovery. CN model uses the push-pull strategy, when the sensor detects specific events, it will periodically push (broadcast) the information throughout the network, when user want to get the information, then a pull-based information query will be exploited. A sensor node generating a large number of events will always replicate its data along the same path using the same nodes. Hence, nodes located in above routing path have to forward a high amount of traffic and become so-called "hotspots", which cost much more energy and typically die at a very early stage.
This is an opnet project which evaluates the comb-needle hotspot problem.

Author: Endong Tong, Wenjia Niu, Gang Li