Abstract
In tactical ad-hoc networks, the importance of various tactical sensors and mission-critical data is increasing owing to their role in determining a tactical situation and ensuring the viability of soldiers. In particular, the reliability of mission-critical data has to be ensured for accurate situation determination and decision making. However, managing the network and trustworthiness in an environment where malicious nodes exist and a large amount of mission-critical data occur is a challenging issue. To solve these issues, a routing protocol is needed that can effectively detect malicious nodes and ensure the reliability and quality of service (QoS) of mission-critical data. In this paper, we propose a trust-based multipath QoS routing protocol (called MC_TQR) for tactical ad-hoc networks that can detect malicious nodes and satisfy the requirements of mission-critical data. The proposed scheme is verified using an OPNET simulator, and the results confirm the improved network performance when compared with existing schemes.
Highlights
In the future, tactical ad-hoc networks will require routing protocols to process large amounts of tactical sensor and mission-critical data securely and accurately, especially while constructing ad-hoc networks in harsh environments that have no infrastructure availability
This section describes the existing schemes used in mobile ad-hoc networks (MANETs) and wireless sensor networks (WSNs) and introduces the trust evaluation method adopted in our proposed technique
This paper proposed a trust-based multipath QoS routing technique that detected malicious nodes in a tactical network and transmitted mission-critical data through paths that guaranteed reliability and quality of service
Summary
Tactical ad-hoc networks will require routing protocols to process large amounts of tactical sensor and mission-critical data securely and accurately, especially while constructing ad-hoc networks in harsh environments that have no infrastructure availability. Tactical ad-hoc networks are expected to generate large amounts of data from the various IoT sensors installed in unmanned robots, launchers, and munitions for fast and accurate command control, which emphasizes the importance of research and developments in reliable networking systems to deliver the data to the gateways. If a malicious node intercepts the information and discards or disturbs it, mission-critical data may be lost, or the number of devices may increase, causing communication performance degradation in a resource-constrained network environment. To solve these problems, technologies have been studied to ensure trustworthiness and QoS, taking into account trust evaluation, expected transmission count (ETX) [6], and end-to-end delay [7,8]. Bandwidth and queue management techniques have been explored to ensure the reliability of data with high mission importance in terms of data priority
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