Journal Information

Ad Hoc Networks

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Impact Factor:
5.4
Publisher:
Elsevier
ISSN:
1570-8705
Viewed:
37093
Tracked:
35

Call For Papers

Ad Hoc Networks is an academic journal published by Elsevier. (ISSN 1570-8705, impact factor 5.4, CCF C).

Aims & Scope The Ad Hoc Networks is an international and archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in ad hoc and sensor networking areas. The Ad Hoc Networks considers original, high quality and unpublished contributions addressing all aspects of ad hoc and sensor networks. Specific areas of interest include, but are not limited to: Mobile and Wireless Ad Hoc Networks Sensor Networks Wireless Local and Personal Area Networks Home Networks Ad Hoc Networks of Autonomous Intelligent Systems Novel Architectures for Ad Hoc and Sensor Networks Self-organizing Network Architectures and Protocols Transport Layer Protocols Routing protocols (unicast, multicast, geocast, etc.) Media Access Control Techniques Error Control Schemes Power-Aware, Low-Power and Energy-Efficient Designs Synchronization and Scheduling Issues Mobility Management Mobility-Tolerant Communication Protocols Location Tracking and Location-based Services Resource and Information Management Security and Fault-Tolerance Issues Hardware and Software Platforms, Systems, and Testbeds Experimental and Prototype Results Quality-of-Service Issues Cross-Layer Interactions Scalability Issues Performance Analysis and Simulation of Protocols
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Special Issues

Special Issue on Trustworthy and Resilient Edge AI Systems: Engineering, Validation, and Deployment under Cyber Disturbance and Data Degradation Submission Date: 2026-09-30 Edge AI systems are increasingly deployed over ad hoc, sensor, and IoT networks in dynamic and often adverse environments. In such settings, systems must operate under unreliable connectivity, partial failures, cyber-attacks, adversarial behaviour, and degraded or drifting data. This Special Issue focuses on the engineering, validation, and real-world deployment of trustworthy and resilient edge AI systems, with emphasis on end-to-end behaviour under realistic disturbance. It adopts a system-level perspective in which dependability is treated as an emergent property of tightly coupled networking, computation, sensing, and learning components. Guest editors: Dr. Ellis Solaiman Newcastle University, UK Email: [email protected] Prof. Omer Rana Cardiff University, UK Email: [email protected] Dr. Karan Mitra Lulea University of Technology, Sweden Email: [email protected] Dr. Lina Pu The University of Alabama, USA Email: [email protected] Dr. Savas Parastatidis CVOYA LLC, USA Email: [email protected] Special issue information: The issue particularly welcomes contributions that move beyond idealised assumptions and demonstrate how edge AI systems remain robust, reliable, and dependable under adverse conditions. Submissions should be supported by realistic evaluation, deployment-oriented evidence, or convincing validation in representative testbeds. The Special Issue also welcomes contributions on enabling architectures, communication protocols, runtime monitoring, and system-level optimisation techniques for edge AI systems, particularly where these influence trustworthiness, resilience, and real-world performance. Topics of interest include, but are not limited to Resilient architectures for edge AI over ad hoc and IoT networks Cross-layer approaches spanning networking, systems, and learning under disturbance Trust, robustness, and dependability in distributed edge intelligence Edge AI under unreliable connectivity, network churn, intermittent links, and partitions Cyber-attacks, adversarial behaviour, and Byzantine components in edge systems Handling noisy, missing, degraded, or compromised sensor data at the edge Data drift, concept drift, and model degradation in deployed edge AI systems Federated, collaborative, and decentralised learning under adverse conditions Monitoring, validation, assurance, and runtime governance of edge AI behaviour Experimental testbeds, real deployments, longitudinal studies, and reproducibility artefacts Manuscript submission information: Please submit your paper to Editorial Manager®, and select article type name "VSI: Trustworthy and Resilient Edge AI Systems" to ensure your manuscript is included in this Special Issue. The Guide for Authors is available on Guide for authors - Ad Hoc Networks - ISSN 1570-8705 | ScienceDirect.com by Elsevier Important Dates: Submission open date: 31/03/2026 Submission deadline: 30/09/2026 Keywords: Edge AI; Ad hoc networks; IoT systems; Trustworthy AI; Resilient systems; Cyber security; Distributed intelligence; Data degradation; Concept drift; Federated learning https://www.sciencedirect.com/special-issue/331651/trustworthy-and-resilient-edge-ai-systems-engineering-validation-and-deployment-under-cyber-disturbance-and-data-degradation
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Special Issue on Agent-Based Autonomous Networking for Mobile Ad Hoc Networks Submission Date: 2026-10-31 Mobile Ad Hoc Networks (MANETs) are a fundamental component of next-generation wireless systems, enabling decentralized, infrastructure-free communication in dynamic and resource-constrained environments. They are critical for applications such as disaster response, UAV swarms, intelligent transportation, and large-scale IoT systems. However, MANETs still face significant challenges related to scalability, routing efficiency, security, and energy constraints. Recent advancements in Agentic AI and multi-agent systems offer promising solutions for enabling autonomous and adaptive network operations. This Special Issue focuses on integrating intelligent decision-making with robust networking principles to design efficient, secure, and scalable MANET architectures. We invite contributions on protocol design, performance evaluation, real-world implementations, and system-level innovations that advance autonomous networking for practical MANET deployments. Guest editors: Dr. Ashok Kumar A. K. Das International Institute of Information Technology Hyderabad, India Email: [email protected] Dr. Sunil Prajapat Gachon University, Korea Email: [email protected] Dr. Jacopo IANNACCI Bruno Kessler Foundation, Italy Email: [email protected] Dr. Sachin Shetty Old Dominion University, US Email: [email protected] Dr. SUN Yi Beijing University of Posts and Telecommunications, China Email: [email protected] Special issue information: This Special Issue aims to explore the convergence of Agentic AI and Mobile Ad Hoc Networks (MANETs), focusing on the development of autonomous, adaptive, and efficient networking solutions. The scope includes the design and analysis of novel routing protocols, resource allocation mechanisms, cross-layer optimization strategies, and trust-aware security frameworks tailored for decentralized environments. We particularly encourage contributions that emphasize rigorous system-level validation, including simulation studies, analytical modeling, benchmarking, and real-world testbed implementations. Topics of interest include energy-efficient networking, scalable architectures, self-healing and resilient systems, and distributed intelligence for dynamic network control. The Special Issue also welcomes applications of MANETs in UAV networks, vehicular networks (VANETs), IoT ecosystems, and mission-critical communication scenarios. Submissions should maintain a strong foundation in networking principles while leveraging intelligent and agent-based methodologies to enhance performance, reliability, and security. Manuscript submission information: Please submit your paper to Editorial Manager®, and select article type name "VSI: AI for MANETs" to ensure your manuscript is included in this Special Issue. The Guide for Authors is available on Guide for authors - Ad Hoc Networks - ISSN 1570-8705 | ScienceDirect.com by Elsevier Important Dates: Submission open date: 15/05/2026 Submission deadline: 31/10/2026 Keywords: • Autonomous MANET protocols • Cross-layer optimization • Network simulation and benchmarking • Secure MANET architectures • Energy-efficient networking • UAV and VANET networks • Distributed learning for networking https://www.sciencedirect.com/special-issue/333696/agent-based-autonomous-networking-for-mobile-ad-hoc-networks
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