  The investigation in this paper targets the design and the evaluation of
jamming intrusion detection based on Fuzzy Logic in wireless mesh IoT Networks
in a distributed manner. Our approach uses information collected at local nodes
and from the sink as input to the fuzzy logic controller. In order to find the
best set of inputs, distributed or centralized, we made a comparison between
five different combinations of parameters. The investigation uses the values of
the ETX, Retransmissions, Packets Drop per terminal (PDPT) and Packet Delivery
Ratio (PDR) as inputs to a fuzzy inference system to get Jamming Index (JI) as
the system's output. The proposed method was evaluated based on the following
metrics: Accuracy, Precision, Specificity, False positive rate (FPR), Recall,
False negative rate (FNR) and ROC curve. In order to evaluate this approach, we
implement experiments in various scenarios using the Contiki OS and the Cooja
simulator tool.
