Abstract:
In Wireless Sensor Networks (WSNs), most of
the issues including energy management, topology
management, bandwidth estimation, packet
loss calculation, etc are dealt. Only few works
have paid attention on mitigating congestion while
estimating delay and bandwidth for transmitting
data packets in WSNs. Several works on queue
management and congestion control have incorporated
Soft Computing (SC) techniques to solve
some of the problems in WSNs. In this paper, an
Active Queue Management (AQM) model to estimate
congestion using priority Random Early Detection
(RED) to mitigate congestion is proposed.
The proposed method integrates AQM model with
fuzzy subsystem which controls the admission of
packets into the network and the same is compared
with several existing works and is simulated using
the Matlab simulator. It is found that the results
obtained outperforms the existing methods in
terms of delay between intermediate nodes, end-toend
delay, packet loss ratio, packet loss probability,
queue size and energy consumption.