Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Efficient data propagation strategies in wireless sensor networks using a single mobile sink
Computer Communications
Adaptive data aggregation scheme in clustered wireless sensor networks
Computer Communications
A Strategy for Multi-Agent Based Wireless Sensor Network Optimization
AIMS '09 Proceedings of the 3rd International Conference on Autonomous Infrastructure, Management and Security: Scalability of Networks and Services
Query-based data collection in wireless sensor networks with mobile sinks
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
Follow me! mobile team coordination in wireless sensor and actuator networks
PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
Improvement of Directed Diffusion Protocol Based on Data Aggregation
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 01
A New Energy-Balanced Data Aggregation Scheme in Wireless Sensor Networks
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 02
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Efficient path planning and data gathering protocols for the wireless sensor network
Computer Communications
Agent-oriented modeling and development of a system for crisis management
Expert Systems with Applications: An International Journal
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Wireless communication is increasingly used to manage large-scale crises (e.g., natural disasters or a large-scale city fire). Communication has traditionally been based on cellular networks. However, real-life experience has proven that the base stations of these networks may collapse or become unreachable during a crisis. An incident commander must also know as much information as possible about the occurring events to control them quickly and efficiently. This paper thus proposes a crisis management approach that overcomes the problems encountered by the base stations and insures relevant, rich and real-time information about events. This approach is based on wireless sensor networks, which are distributed in nature with no need for infrastructure and could be deployed in dangerous and inaccessible zones to gather information. Our proposal uses a multi-agent system as a software layer. The multi-agent system aims to improve the wireless sensor network performance by allowing cooperation between sensor nodes, offering better lifetime management and virtualizing the application layer. This virtualization supports several required applications simultaneously, including event monitoring and object tracking. Through successive simulations, we prove the importance of our approach in crisis management using several criteria to estimate the position's error in object tracking, end-to-end delay and wireless sensor network lifetime management.