Call and response: experiments in sampling the environment
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
On Honey Bees and Dynamic Server Allocation in Internet Hosting Centers
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
A survey: algorithms simulating bee swarm intelligence
Artificial Intelligence Review
FCCM '09 Proceedings of the 2009 17th IEEE Symposium on Field Programmable Custom Computing Machines
On-line sensing task optimization for shared sensors
Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
Multi-Application Deployment in Shared Sensor Networks Based on Quality of Monitoring
RTAS '10 Proceedings of the 2010 16th IEEE Real-Time and Embedded Technology and Applications Symposium
Wireless multimedia sensor networks: A survey
IEEE Wireless Communications
A Reconfigurable Hardware Accelerated Platform for Clustered Wireless Sensor Networks
ICPADS '12 Proceedings of the 2012 IEEE 18th International Conference on Parallel and Distributed Systems
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Wireless sensor networks (WSNs) are often primarily tailored to single applications to achieve one specific mission. Considering that the same physical phenomenon can be used by multiple applications, the benefit of sharing the WSN infrastructure is obvious in terms of development and deployment cost. However, allocating the tasks to the WSNs to meet the requirements of all applications while keeping the energy efficiency is very challenging. Introducing reconfigurable nodes in the shared sensor networks can improve the performance, the energy efficiency and the flexibility but it increases the system complexity. In this paper, we propose a biologically inspired node configuration scheme in shared reconfigurable sensor network named DANCE, which can adapt to the changing environment and efficiently utilize WSN resources. Our experiments show that our scheme reduces the energy consumption by up to 76%.