Samar Sindian, Imad Jawhar, Samih El Nakib, Jie Wu
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引用次数: 0
Abstract
: The advancement of Multi-Robot Systems (MRS), Wireless Sensor Networks (WSNs), and Unmanned Aerial Vehicles (UAVs) has led to their increasing use for large-scale monitoring. The research in this area has focused on developing advanced sensing and networking protocols, as well as specialized system topologies and embedded computer and communication platforms. This has resulted in a need for multidisciplinary projects to develop appropriate algorithms for data processing, communication, and control across diverse fields. The primary focus of this article is the collaborative features of MRS. It provides a brief overview of recent advancements in this vital domain, with a comparative focus on numerous recent theoretical and practical contributions. The article also identifies and discusses focus areas, such as a classification of MRS systems and the issues and requirements of MRS networking protocols. Additionally, references to applications in various domains, including the environment, agriculture, emergency scenarios, and border patrol, are highlighted. Finally, an integrated system model based on WSNs and UAVs is presented, along with an optimality study.
期刊介绍:
IJSNet proposes and fosters discussion on and dissemination of issues related to research and applications of distributed and wireless/wired sensor and actuator networks. Sensor networks is an interdisciplinary field including many fields such as wireless networks and communications, protocols, distributed algorithms, signal processing, embedded systems, and information management.
Topics covered include:
-Energy efficiency, energy efficient protocols-
Applications-
Location techniques, routing, medium access control-
Coverage, connectivity, longevity, scheduling, synchronisation-
Network resource management, network protocols, lightweight protocols-
Fault tolerance/diagnostics-
Foundations-
Data storage, query processing, system architectures, operating systems-
In-network processing and aggregation-
Learning of models from data-
Mobility-
Performance analysis-
Sensor tasking and control-
Security, privacy, data integrity-
Modelling of systems/physical environments, simulation tools/environments.