Integrating Intelligent Systems in MANET- IoT Environment based on Subjective Context

Abstract

The Internet of Things (IoT) has cultivated a promising environment, pivotal across diverse sectorsvia MANET protocols within the w.w.w. This technology significantly contributes to advanced services for mobiledevices in the MANET-IoT domain. However, MANET encounters security challenges, notably malicious attacksas a prime concern. To counter these threats, preventive measures like subjective-context evaluation and nodeprotection are employed, ensuring data packet integrity before delivery. This study aims to enhance theperformance of a novel reactive protocol, integrated with a fuzzy system within the MANET-IoT environment. Themethodology is implemented in two directions: 1) Establishing a secure network founded on trust parameters andshortest path selection. 2) Incorporating an integrated fuzzy system into an improved reactive routing protocolwithin the MANET environment. Subjective context ensures a secure milieu, evaluating nodes before packetdelivery based on trust and shortest path. The fuzzy system's rules determine the network's probability distribution,contingent upon trust and the number of hop counts. The proposed routing protocol is evaluated both pre- and postattacks during packet transmission. Results demonstrate its superiority in packet transmission over the originalprotocol. Three scenarios evaluate packet delivery fraction (PDF), end-to-end delay (E2E), and normalized routingload (NRL). FS-AODV's percentages were 0.9873% against AODV's 1.9871% without drop) and 0.8419% with adrop for PDF. FS-AODV's percentages stood at 0.0006% against AODV's 0.0007% without a drop and 0.0005%with a drop for E2E. In contrast, FS-AODV's percentage was 0.058%, AODV at 0.0127% without a drop, and0.066% with a drop for NRL.