Mahaboob John YM, Ravi G. Real time regional mobility energy feature approximation‐based secure routing for improved quality of service in MANET, International Journal of Communication Systems 2021, (https://doi.org/10.1002/dac.4713). The above article published online on 20 April 2021 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Editor and John Wiley and Sons Ltd. Following publication, it has come to our attention that the people named as the Guest Editors of the Special Issue were being impersonated by a fraudulent entity and the articles were not reviewed in line with the journal's peer review standards. The Editor has determined that the articles do not meet the required scholarly standards of the journal, and therefore has taken the decision to retract the article. We did not find any evidence of misconduct by the authors. The authors have been informed of the decision to retract.
In wireless transmission, a Mobile Ad-hoc Network (MANET) contains many mobile nodes that can communicate without needing base stations. Due to the highly dynamic nature of wireless, MANETs face several issues, like malicious nodes making packet loss, high energy consumption, and security. Key challenges include efficient clustering and routing with optimal energy efficiency for Quality of Service (QoS) performance. To combat these issues, this novel presents Cooperative Self-Scheduling Secure Routing Protocol (CoS3RP) for efficient scheduling for proficient packet transmission in MANET. Initially, we used Elite Sparrow Search Algorithm (ESSA) for identifies the Cluster Head (CH) and form clusters. The Multipath Optimal Distance Selection (MODS) technique is used to find the multiple routes for data transmission. Afterward, the proposed CoS3RP transmits the packets based on each node authentication. The proposed method for evaluating and selecting efficient routing and data transfer paths is implemented using the Network simulator (NS2) tool, and the results are compared with other methods. Furthermore, the proposed well performs in routing performance, security, latency and throughput.
The mobile ad‐hoc network is well studied on the routing issues, and the security constraints around achieving higher quality of service (QoS) values are well analyzed. The main task is to establish the path to the target with reliable intermediate nodes based on quality parameters because of the lack of node mobility and central management. In a multi‐constrained QoS issuance, more than the QoS requirements must be satisfied at the end of the application. There are several secure routing protocols available to improve the QoS of Manet by routing packets securely. However, they do not meet the performance requirements. To solve this problem, and efficient Multi‐Constrained Network Feature Approximation (MCNFA) technique is proposed based on safe routing. The method first determines the list of paths between source and destination. According to that, the method approximates the congestion, latency, and hop count values for each route. According to the value obtained in approximation of various parameters, the legitimate weight is computed for all the routes towards the destination. According to the value of the legitimate weight, a single route is selected to perform data transmission. The MCNFA approach improves the routing performance and increases the throughput ratio and other QoS factors. The performance of the proposed method will be assessed using NS2 simulation. The results show that the proposed scheme can maintain a longer network lifecycle in tight scenarios suitable for delay‐tolerant networking. The performance is compared with energy recognition and MCNFA technique‐based energy‐saving routing protocols in various QoS scenarios.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.