Abstract:
In the sensor networks, network tra c prioritization is gaining attention in the
WSN community, as more and more features are being integrated these networks.
Real-world deployment experience suggests that WSN brings new challenges to
existing problems, such as resource constraints, low data-rate radios, and diverse
application scenarios. But most of tra c prioritization problems deals with how
to handle the HP (high-priority) data packet ignoring the LP (Low-Priority) data
packet. Whenever any HP data packet arrives, LP data packet transmissions are
suspended. This results in a loss of LP packets due to network congestion in a
saturated network, weak radio signal, multi-path fading or cache over
ow. We
propose a framework that that will not suspend the LP data packet completely
when any HP data packet has arrived. The framework will cache and aggregate
the LP data packets and transmits the LP data packet after certain interval
while transmitting the HP data packets. We di erentiate between the HP and
LP data by leveraging transmission power di erence and radio-capture e ect. We
classify the LP data tra c by using a hierarchical aggregation algorithm for data
reduction of similar data.
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