SmartMote: Energy and VoI aware solar-powered sensor network design for environment monitoring

Due to advances in low power micro-sensor technology, energy harvesting techniques, we can now build large scale solar-powered sensor networks to support long-running operations. Solar powered sensors often harvest variable amounts of energy in different weather conditions. Then a primary requirement for an efficient and a long-running solar-powered sensor system is to adapt to changing environment conditions and resources, and to gather as much valuable data as possible. Sensing and collecting data at a constant rate, without taking into account energy availability or data deliverability, will either drain the battery or waste resources. In this work, we design and test a highly efficient and robust solar-powered system SmartMote; and we further present an energy and value of information (VoI) aware routing strategy, that balances the rates of sensing with packet delivery for SmartMote. SmartMote achieves fairness and near maximum utility across the network. We deploy SmartMote in a forest with 100 sensors in order to monitor the humidity, temperature and luminance intensity. Our experimental results corroborate our design.

[1]  Dong Kun Noh,et al.  SolarStore: enhancing data reliability in solar-powered storage-centric sensor networks , 2009, MobiSys '09.

[2]  Ingo Stark,et al.  Invited Talk: Thermal Energy Harvesting with Thermo Life , 2006, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06).

[3]  Pai H. Chou,et al.  AmbiMax: Autonomous Energy Harvesting Platform for Multi-Supply Wireless Sensor Nodes , 2006, 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks.

[4]  Mani B. Srivastava,et al.  Performance aware tasking for environmentally powered sensor networks , 2004, SIGMETRICS '04/Performance '04.

[5]  Shaojie Tang,et al.  Canopy closure estimates with GreenOrbs: sustainable sensing in the forest , 2009, SenSys '09.

[6]  Dong Kun Noh,et al.  AdaptSens: An Adaptive Data Collection and Storage Service for Solar-Powered Sensor Networks , 2009, 2009 30th IEEE Real-Time Systems Symposium.

[7]  Carsten Lund,et al.  On the hardness of approximating minimization problems , 1994, JACM.

[8]  Mani Srivastava,et al.  Energy Harvesting Support for Sensor Networking , 2004 .

[9]  Mani B. Srivastava,et al.  Heliomote: enabling long-lived sensor networks through solar energy harvesting , 2005, SenSys '05.

[10]  Edward W. Knightly,et al.  Proceedings of the tenth ACM international symposium on Mobile ad hoc networking and computing , 2009, MobiHoc 2009.

[11]  Adam Dunkels,et al.  Software-based on-line energy estimation for sensor nodes , 2007, EmNets '07.

[12]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[13]  H. Liu,et al.  Conference on Measurement and modeling of computer systems , 2001 .

[14]  Andrea Fumagalli,et al.  Cooperative and noncooperative ARQ protocols for microwave recharged sensor nodes , 2005, Proceeedings of the Second European Workshop on Wireless Sensor Networks, 2005..

[15]  David E. Culler,et al.  Perpetual environmentally powered sensor networks , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[16]  Damla Turgut,et al.  Uniform sensing protocol for autonomous rechargeable sensor networks , 2008, MSWiM '08.

[17]  M. Gatzianas,et al.  Asymptotically Optimal Policies for Wireless Networks with Rechargeable Batteries , 2008, 2008 International Wireless Communications and Mobile Computing Conference.

[18]  Taposh Banerjee,et al.  Optimal Dynamic Activation Policies in Sensor Networks , 2007, 2007 2nd International Conference on Communication Systems Software and Middleware.

[19]  Ananth Krishnamurthy,et al.  Dynamic node activation in networks of rechargeable sensors , 2005, INFOCOM 2005.

[20]  Mani B. Srivastava,et al.  Power management in energy harvesting sensor networks , 2007, TECS.

[21]  Mani B. Srivastava,et al.  Design considerations for solar energy harvesting wireless embedded systems , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[22]  Mani Srivastava,et al.  Energy efficient routing in wireless sensor networks , 2001, 2001 MILCOM Proceedings Communications for Network-Centric Operations: Creating the Information Force (Cat. No.01CH37277).

[23]  Mark D. Corner,et al.  Eon: a language and runtime system for perpetual systems , 2007, SenSys '07.

[24]  Ossama Younis,et al.  HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks , 2004, IEEE Transactions on Mobile Computing.

[25]  David E. Culler,et al.  Telos: enabling ultra-low power wireless research , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[26]  Peng-Jun Wan,et al.  Multiflows in multihop wireless networks , 2009, MobiHoc '09.