Background:
Energy consumption is an important parameter in wireless sensor networks
since it affects the lifetime of sensor nodes.
Methods:
Battery powered wireless sensor networks cannot sustain for long hence impractical for
real-time applications. With energy harvesting and relevant protocols, this issue of extending the
lifetime of nodes has been solved largely. The performance can be enhanced further if proper traffic
analysis and modeling are done as a proactive approach.
Results:
A proper understanding of the traffic dynamics provides a base for further network optimization
and detection of anomalies within the network. Much of the reported work in energy harvesting
based WSN till now, is to design the efficient protocols only, traffic analysis and modeling is the
ignored parameter. In this paper traffic models appropriate for the energy harvesting based system
have been analyzed and their performance is evaluated for a MAC protocol.
Conclusion:
Results show that Weibull distribution is the most useful model for traffic modeling in
energy harvesting based wireless sensor networks.
A mobility‐aware cluster‐based MAC protocol for radio‐ frequency energy harvesting cognitive wireless sensor networks
