Congestion Control and Prediction Schemes Using Fuzzy Logic System with Adaptive Membership Function in Wireless Sensor Networks

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/wcmc/volume-2018/6421717/figures/6421717.fig.0017a.svgz" name="6421717.fig.0017a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>10% event</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/wcmc/volume-2018/6421717/figures/6421717.fig.0017b.svgz" name="6421717.fig.0017b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>20% event</td></tr></table>

<div>Average remaining energies over different traffic loads of OFESs (OFES-Case-I, OFES-Case-II, OFES-CaseIII-woBAT, and OFES-Case-III-withBAT).</div>

Wireless Communications and Mobile Computing

fig17

Figure 17

Figure 17: Congestion Control and Prediction Schemes Using Fuzzy Logic System with Adaptive Membership Function in Wireless Sensor Networks 