A service oriented architecture for wireless sensor and actor network applications
SAICSIT '06 Proceedings of the 2006 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing countries
An approach for applying multi-agent technology into wireless sensor networks
EATIS '07 Proceedings of the 2007 Euro American conference on Telematics and information systems
A self-organised middleware architecture for Wireless Sensor Network management
International Journal of Ad Hoc and Ubiquitous Computing
Agilla: A mobile agent middleware for self-adaptive wireless sensor networks
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
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
An energy-efficient, multi-agent sensor network for detecting diffuse events
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A new agent-based solution for wireless sensor networks management
SpringSim '09 Proceedings of the 2009 Spring Simulation Multiconference
An energy-efficient multi-agent based architecture in wireless sensor network
APWeb'08 Proceedings of the 10th Asia-Pacific web conference on Progress in WWW research and development
The adaptive environment: delivering the vision of in situ real-time environmental monitoring
IBM Journal of Research and Development
KES-AMSTA'12 Proceedings of the 6th KES international conference on Agent and Multi-Agent Systems: technologies and applications
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The primary function of Wireless Sensor Networks is data acquisition or monitoring of some medium, such as temperature. In many instances these networks are deployed throughout inaccessible or hazardous regions meaning frequent maintenance such as battery replacement is undesirable and in some cases impossible. Intelligent power management for these devices is critical in maximizing the networks life span and ultimately will dictate the success of such deployments. This longevity must, however, be achieved while maintaining the integrity of the sensory data harvested by the network. Due to the inherent distributed nature of Wireless Sensor Networks, intelligent software agents lend themselves to performing this power management in such a distributed domain. In this paper we examine some of the potential decisions an agent may face regarding intelligent power management and we look at how the stronger notion of agency could be employed to allow a richer deliberation regarding potential decisions. Allowing more adaptive control of WSNs in light of their computationally challenged nature.