Collaborative processing in Mote-based sensor/actuator networks for environment control application

Authors:
Masayuki Nakamura;Atsushi Sakurai;Shizuo Furubo;Hiroshi Ban
Affiliations:
NTT Energy and Environment Systems Laboratories, Nippon Telegraph and Telephone Corporation, Morinosato Wakamiya, Atsugi-shi, Kanagawa Pref., Japan;NTT Energy and Environment Systems Laboratories, Nippon Telegraph and Telephone Corporation, Morinosato Wakamiya, Atsugi-shi, Kanagawa Pref., Japan;NTT Energy and Environment Systems Laboratories, Nippon Telegraph and Telephone Corporation, Morinosato Wakamiya, Atsugi-shi, Kanagawa Pref., Japan;NTT Energy and Environment Systems Laboratories, Nippon Telegraph and Telephone Corporation, Morinosato Wakamiya, Atsugi-shi, Kanagawa Pref., Japan
Venue:
Signal Processing
Year:
2008

Citing 8
Cited 1

Directed diffusion: a scalable and robust communication paradigm for sensor networks

MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Energy-Efficient Communication Protocol for Wireless Microsensor Networks

HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Taming the underlying challenges of reliable multihop routing in sensor networks

Proceedings of the 1st international conference on Embedded networked sensor systems
Distributed optimization in sensor networks

Proceedings of the 3rd international symposium on Information processing in sensor networks
Medium access control with coordinated adaptive sleeping for wireless sensor networks

IEEE/ACM Transactions on Networking (TON)
Sensor/Actuator Networks supporting Agents for Distributed Energy Management

LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
Intelligent light control using sensor networks

Proceedings of the 3rd international conference on Embedded networked sensor systems
Networking Wireless Sensors

Networking Wireless Sensors

Adaptive sensor/actuator networks for tracking environment control behaviors

CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology

Quantified Score

Hi-index	0.08

Visualization

Abstract

This paper describes in the framework of optimization a collaborative sensing and actuation system for environment control. In the collaborative sensing, the sensor network topology is self-configured according to the sensing information to optimize a sensing utility. Experimental results using Motes show that the algorithm provides the sensor network topology allocating resources to sensing nodes. The server can robustly gather the sensing data from all sensor nodes using the collaborative sensing algorithm, and calculate the control signals for actuators to balance the energy saving against the quality of the control signals. In addition to a centralized approach, a decentralized algorithm is also proposed to calculate the control signals. Simulations reveal that the decentralized algorithm can provide the same performance as the centralized approach. We also demonstrate its accuracy and efficiency performance using the Motes and compare it with the simulation.