Jammed Node Detection and Routing in a Multihop Wireless Sensor Network Using Hybrid Techniques

Fuzzy-Logic Based IDS for Detecting Jamming Attacks in Wireless Mesh IoT Networks

“…• Delay: Delay in [15] is calculated as a total time from the transmission of a packet from a node to the sink, to the time when the sink received the packet. • Received Signal Strength Indicator (RSSI): RSSI [16], [17], [25] is defined as the power content of the radio signal when received by the receiver. • Packet Loss Ratio (PLR): PLR is calculated as the number of packets lost divided by the number of packets sent [25], [26].…”

“…• Received Signal Strength Indicator (RSSI): RSSI [16], [17], [25] is defined as the power content of the radio signal when received by the receiver. • Packet Loss Ratio (PLR): PLR is calculated as the number of packets lost divided by the number of packets sent [25], [26]. • Routing Overhead: Chen et al [26] proposed routing overhead as the average number of routing packets (including DIS, DIO, and DAO packets) transmitted in the whole network every minute.…”

Performance analysis of iterative linear regression‐based clustering in wireless sensor networks

“…As the intention is to determine the real time performance of the ILR clustered network, the CH selection can be carried out using any technique. Fuzzy logic is widely used for various applications, as it is capable of achieving an optimal output using a better combination of the input parameters [22][23][24][25][26][27][28]. Hence, the CH selection used in this research is based on fuzzy logic with minimal parameters [29].…”

Range‐based localisation of a wireless sensor network using Jaya algorithm

“…The estimated regression lines are given as follows: Thus, the path loss component (n) for outdoor environment is 3.8 and indoor environment is 2.9. By rearranging (13) and (14), the distance in meters between the target node and the reference node can be obtained as follows: Using (15) and (16), the distance between the target node and the reference nodes for both outdoor and indoor environments are obtained. Fig.…”

“…Actually, the stronger the signal strength, the closer it is to 0 dBm. RSSI is the measurement of the power of the received signal and is influenced by various factors [12,13]. The relative movements of the transmitter and receiver lead to signal strength variations.…”