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 sectors
via MANET protocols within the w.w.w. This technology significantly contributes to advanced services for mobile
devices in the MANET-IoT domain. However, MANET encounters security challenges, notably malicious attacks
as a prime concern. To counter these threats, preventive measures like subjective-context evaluation and node
protection are employed, ensuring data packet integrity before delivery. This study aims to enhance the
performance of a novel reactive protocol, integrated with a fuzzy system within the MANET-IoT environment. The
methodology is implemented in two directions: 1) Establishing a secure network founded on trust parameters and
shortest path selection. 2) Incorporating an integrated fuzzy system into an improved reactive routing protocol
within the MANET environment. Subjective context ensures a secure milieu, evaluating nodes before packet
delivery 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 original
protocol. Three scenarios evaluate packet delivery fraction (PDF), end-to-end delay (E2E), and normalized routing
load (NRL). FS-AODV's percentages were 0.9873% against AODV's 1.9871% without drop) and 0.8419% with a
drop 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, and
0.066% with a drop for NRL.