Localization and Detection of Multiple Attacks in Wireless Sensor Networks Using Artificial Neural Network

Table 1

List of abbreviations and acronyms used in this paper.

Abbreviations	Descriptions
BS	Base station
WSNs	Wireless sensor networks
CH	Cluster head
D	Distance
E	Energy of the sensor node
RSSI	Received signal strength indicator
DV-H	Distance vector hop
IoT	Internet of Things
ANN-IDS	Artificial neural network-based intrusion detection system
FEMs	Fuzzy extreme machines
MK-ELM	Multikernel extreme learning machine
LEACH-ANN	Low-energy adaptive clustering hierarchy based on ANN
CNN-MCL	Convolutional neural network and mean convolutional layer
HTM-LSTM	Hierarchical temporal memory and long short-term memory
MLPANN	Multilayer perceptron artificial neural network
RL-IDS	Reinforcement learning-based IDS
GBFS-IDS	Gradient boosting feature selection for IDS
ML-ID	Machine learning-based intrusion detection
UWB	Ultrawide band
DI-ADS	Deep intelligent attack detection scheme
PO-CFNN-	Political optimizer based on cascade forward neural network
RNN	Recurrent neural network
ECGAL	Energy-efficient clustering and localization centered on genetic algorithm
LSTM-FFNN	Long short-term memory and feed-forward neural network
DNN-CSO	Deep neural networks with chicken swarm optimization