TBSMR: A Trust-Based Secure Multipath Routing Protocol for Enhancing the QoS of the Mobile Ad Hoc Network

Abstract

Mobile ad hoc network (MANET) is a miscellany of versatile nodes that communicate without any fixed physical framework. MANETs gained popularity due to various notable features like dynamic topology, rapid setup, multihop data transmission, and so on. These prominent features make MANETs suitable for many real-time applications like environmental monitoring, disaster management, and covert and combat operations. Moreover, MANETs can also be integrated with emerging technologies like cloud computing, IoT, and machine learning algorithms to achieve the vision of Industry 4.0. All MANET-based sensitive real-time applications require secure and reliable data transmission that must meet the required QoS. In MANET, achieving secure and energy-efficient data transmission is a challenging task. To accomplish such challenging objectives, it is necessary to design a secure routing protocol that enhances the MANET’s QoS. In this paper, we proposed a trust-based multipath routing protocol called TBSMR to enhance the MANET’s overall performance. The main strength of the proposed protocol is that it considers multiple factors like congestion control, packet loss reduction, malicious node detection, and secure data transmission to intensify the MANET’s QoS. The performance of the proposed protocol is analyzed through the simulation in NS2. Our simulation results justify that the proposed routing protocol exhibits superior performance than the existing approaches.

An Enhanced Trust-Based Secure Route Protocol for Malicious Node Detection

“…ETBSRP is used to expand any reactive routing system, but we choose the ad-hoc on-demand distance vector (AODV) protocol. We enhance the capabilities of AODV following changes outlined in [13] to achieve better routing named Enhanced AODV (EAODV). In addition, we consider adding the components to the neighbor table: (i) power consumption, (ii) affinities, (iii) node bandwidth, and (iv) trustworthiness.…”

“…In time-critical situations, such a delay in building trustworthiness is frequently unacceptable. A malfunctioning node will have more opportunities to discard transmissions before being recognized as vicious because of the slowdown in establishing trust [11][12][13]. Individual node security is crucial in MANET to shield each user's personal information.…”

“…The JCS method employs a multiobjective fitness function that evaluates distance, link life span, latency, power, trust, and reputation to pick a secure pathway. TBSMR, a trust-based multi-path routing system, was proposed in [13] to increase the MANET's overall effectiveness. The recommended protocol discusses congestion management, packet drop minimization, attacker node discovery, and safe data transfer features that the suggested protocol examines to enhance the MANET's QoS.…”

A Hybrid Price Auction-Based Secure Routing Protocol Using Advanced Speed and Cosine Similarity-Based Clustering against Sinkhole Attack in VANETs

“… The average number of the cluster head change: it is defined by the average number of cluster heads changes in per cluster per session [ 33 ]. Packet loss ratio: it is defined by the ratio of the number of packets loss to the total number of sent packets [ 48 ]. …”

Hybrid Trust and Weight Evaluation Based Trust Assessment Using ECK-ANFIS and AOMDV-REPO Based Optimal Routing in MANET Environment

“…In MANET, routing protocols are typically separated into three methods in respect of their design as well as routing procedure, they are (1) proactive, (2) reactive, together with (3) hybrid routing protocols [11]. Destination Sequenced Distance Vectors (DSDV) [12] as well as Optimized Link States Routing (OLSR) [13] is commonly used proactive routing protocols, which instantly exhibit the network status once the malevolent nodes attach.…”