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Battery-less zero-maintenance embedded sensing at the mithræum of circus maximus

Published:16 November 2020Publication History

ABSTRACT

We present the design and evaluation of a 3.5-year embedded sensing deployment at the Mithræum of Circus Maximus, a UNESCO-protected underground archaeological site in Rome (Italy). Unique to our work is the use of energy harvesting through thermal and kinetic energy sources. The extreme scarcity and erratic availability of energy, however, pose great challenges in system software, embedded hardware, and energy management. We tackle them by testing, for the first time in a multi-year deployment, existing solutions in intermittent computing, low-power hardware, and energy harvesting. Through three major design iterations, we find that these solutions operate as isolated silos and lack integration into a complete system, performing suboptimally. In contrast, we demonstrate the efficient performance of a hardware/software co-design featuring accurate energy management and capturing the coupling between energy sources and sensed quantities. Installing a battery-operated system alongside also allows us to perform a comparative study of energy harvesting in a demanding setting. Albeit the latter reduces energy availability and thus lowers the data yield to about 22% of that provided by batteries, our system provides a comparable level of insight into environmental conditions and structural health of the site. Further, unlike existing energy-harvesting deployments that are limited to a few months of operation in the best cases, our system runs with zero maintenance since almost 2 years, including 3 months of site inaccessibility due to a COVID19 lockdown.

References

  1. J. Adkins, B. Ghena, N.Jackson, P. Pannuto, S. Rohrer, B. Campbell, and P. Dutta. 2018. The Signpost Platform for City-Scale Sensing. In Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).Google ScholarGoogle Scholar
  2. M. Afanasov, N. A. Bhatti, D. Campagna, G. Caslini, F. M. Centonze, K. Dolui, A. Maioli, E. Barone, M. H. Alizai, J. H. Siddiqui, and L. Mottola. [n.d.]. Battery-less Zero-maintenance Embedded Sensing at the Mithræum of Circus Maximus: Hardware Schematics and Source Code. https://www.neslab.it/mitreoGoogle ScholarGoogle Scholar
  3. S. Ahmed, A. Bakar, N. A. Bhatti, M. H. Alizai, J. H. Siddiqui, and L. Mottola. 2019. The Betrayal of Constant Power X Time: Finding the Missing Joules of Transiently-powered Computers. In Proceedings of the 20th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES).Google ScholarGoogle Scholar
  4. S. Ahmed, N. A. Bhatti, M. H. Alizai, J. H. Siddiqui, and L. Mottola. 2019. Efficient Intermittent Computing with Differential Checkpointing. In Proceedings of the 20th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES).Google ScholarGoogle Scholar
  5. ANSI/ASHRAE. [n.d.]. Standard 55 - Thermal Conditions for Human Comfort. Retrieved July 10th, 2020 from https://www.ashrae.org/technical-resources/55Google ScholarGoogle Scholar
  6. A. R. Arreola, D. Balsamo, G. V. Merrett, and A. S. Weddell. 2018. RESTOP: Retaining External Peripheral State in Intermittently-Powered Sensor Systems. Sensors (2018).Google ScholarGoogle Scholar
  7. N. Baccour, A. Koubâa, L. Mottola, M. Zúñiga, H. Youssef, C. Boano, and M. Alves. 2012. Radio Link Quality Estimation in Wireless Sensor Networks: A Survey. ACM Transactions on Sensor Networks (TOSN) 8, 4 (2012).Google ScholarGoogle Scholar
  8. D. Balsamo, A. Das, A. S. Weddell, D. Brunelli, B. M. Al-Hashimi, G. V. Merrett, and L. Benini. 2016. Graceful Performance Modulation for Power-Neutral Transient Computing Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2016).Google ScholarGoogle Scholar
  9. D. Balsamo, B. J. Fletcher, A. S. Weddell, G. Karatziolas, B. M. Al-Hashimi, and G. V. Merrett. 2019. Momentum: Power-Neutral Performance Scaling with Intrinsic MPPT for Energy Harvesting Computing Systems. ACM Transactions on Embedded Computing Systems (2019).Google ScholarGoogle Scholar
  10. D. Balsamo, A. S. Weddell, A. Das, A. R. Arreola, D. Brunelli, B. M. Al-Hashimi, G. V. Merrett, and L. Benini. 2016. Hibernus++: A Self-Calibrating and Adaptive System for Transiently-Powered Embedded Devices. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2016).Google ScholarGoogle Scholar
  11. D. Balsamo, A. S. Weddell, G. V. Merrett, B. M. Al-Hashimi, D. Brunelli, and L. Benini. 2015. Hibernus: Sustaining Computation During Intermittent Supply for Energy-Harvesting Systems. IEEE Embedded Systems Letters (2015).Google ScholarGoogle Scholar
  12. G. Barrenetxea, F. Ingelrest, G. Schaefer, and M. Vetterli. 2008. The Hitchhiker's Guide to Successful Wireless Sensor Network Deployments. In Proceedings of the 6th ACM Conference on Embedded Network Sensor Systems (SENSYS).Google ScholarGoogle Scholar
  13. G. Berthou, T. Delizy, K. Marquet, T. Risset, and G. Salagnac. 2018. Sytare: a Lightweight Kernel for NVRAM-Based Transiently-Powered Systems. IEEE Trans. Comput. (2018).Google ScholarGoogle Scholar
  14. N. A. Bhatti, M. H. Alizai, A. A. Syed, and L. Mottola. 2016. Energy Harvesting and Wireless Transfer in Sensor Network Applications: Concepts and Experiences. ACM Transactions on Sensor Networks (2016).Google ScholarGoogle Scholar
  15. N. A. Bhatti and L. Mottola. 2017. HarvOS: Efficient Code Instrumentation for Transiently-powered Embedded Sensing. In Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).Google ScholarGoogle Scholar
  16. A. Branco, L. Mottola, M. H. Alizai, and J. H. Siddiqui. 2019. Intermittent Asynchronous Peripheral Operations. In Proceedings of the 17th Conference on Embedded Networked Sensor Systems (SENSYS).Google ScholarGoogle Scholar
  17. D. Carlson, J. Gupchup, R. Fatland, and A. Terzis. 2010. K2: A System for Campaign Deployments of Wireless Sensor Networks. (2010).Google ScholarGoogle Scholar
  18. M. Ceriotti, M. Corrà, L. D'Orazio, R. Doriguzzi, D. Facchin, G. P. Jesi, R. L. Cigno, L. Mottola, A. L. Murphy, M. Pescalli, et al. 2011. Is there light at the ends of the tunnel? Wireless sensor networks for adaptive lighting in road tunnels. In Proceedings of the International Conference on Information Processing in Sensor Networks (IPSN).Google ScholarGoogle Scholar
  19. M. Ceriotti, L. Mottola, G. P. Picco, A. L. Murphy, S. Guna, M. Corrà, M. Pozzi, D. Zonta, and P. Zanon. 2009. Monitoring Heritage Buildings with Wireless Sensor Networks: The Torre Aquila Deployment. In Proceedings of the International Conference on Information Processing in Sensor Networks (IPSN).Google ScholarGoogle Scholar
  20. Q. Chen, Y. Liu, G. Liu, Q. Yang, X. Shi, H. Gao, L. Su, and Q. Li. 2017. Harvest Energy from the Water: A Self-Sustained Wireless Water Quality Sensing System. ACM Transactions on Embedded Computing Systems (2017).Google ScholarGoogle Scholar
  21. H. Chiang, J. Hong, K. Kiningham, L. Riliskis, P. Levis, and M. Horowitz. 2018. Tethys: Collecting Sensor Data without Infrastracture or Trust. In Proceedings of the 3rd IEEE/ACM International Conference on Internet-of-Things Design and Implementation (IoTDI).Google ScholarGoogle Scholar
  22. A. Colin and B. Lucia. 2016. Chain: Tasks and Channels for Reliable Intermittent Programs. In Proceedings of the ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA).Google ScholarGoogle Scholar
  23. A. Colin, E. Ruppel, and B. Lucia. 2018. A Reconfigurable Energy Storage Architecture for Energy-Harvesting Devices. In Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS).Google ScholarGoogle Scholar
  24. P. Corke, P. Valencia, P. Sikka, T. Wark, and L. Overs. 2007. Long-Duration Solar-Powered Wireless Sensor Networks. In Proceedings of the 4th Workshop on Embedded Networked Sensors (EMNETS).Google ScholarGoogle Scholar
  25. Datasheet. [n.d.]. ChipCon 1101. Retrieved July 10th, 2020 from https://www.ti.com/lit/ds/symlink/cc1101.pdfGoogle ScholarGoogle Scholar
  26. J. de Winkel, C. Delle Donne, K. S. Yildirim, P. Pawelczak, and J. Hester. 2020. Reliable Timekeeping for Intermittent Computing. In Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS).Google ScholarGoogle Scholar
  27. P. Dutta, M. Grimmer, A. Arora, S. Bibyk, and D. Culler. 2005. Design of a Wireless Sensor Network Platform for Detecting Rare, Random, and Ephemeral Events. In Proceedings of the 4th International Symposium on Information Processing in Sensor Networks (IPSN).Google ScholarGoogle Scholar
  28. P. Dutta, J. Hui, J. Jeong, S. Kim, C. Sharp, J. Taneja, G. Tolle, K. Whitehouse, and D. Culler. 2006. Trio: enabling sustainable and scalable outdoor wireless sensor network deployments. In Proceedings of the 5th International Conference on Information Processing in Sensor Networks (IPSN).Google ScholarGoogle Scholar
  29. Istituto Nazionale Geofisica e Vulcanologia. [n.d.]. Earthquake Data in Italy. Retrieved July 10th, 2020 from http://cnt.rm.ingv.itGoogle ScholarGoogle Scholar
  30. ReVibe Energy. [n.d.]. modelD Piezoelectric Energy Harvester. Retrieved July 8th, 2020 from https://revibeenergy.com/modeld/Google ScholarGoogle Scholar
  31. ReVibe Energy. [n.d.]. modelQ Piezoelectric Energy Harvester. Retrieved July 8th, 2020 from https://revibeenergy.com/modelq/Google ScholarGoogle Scholar
  32. V. L. Erickson, S. Achleitner, and A. E. Cerpa. 2013. POEM: Power-Efficient Occupancy-Based Energy Management System. In Proceedings of the 12th International Conference on Information Processing in Sensor Networks (IPSN).Google ScholarGoogle Scholar
  33. B. J. Fletcher, D. Balsamo, and G. V. Merrett. 2017. Power Neutral Performance Scaling for Energy Harvesting MP-SoCs. In Proceedings of the Conference on Design, Automation & Test in Europe (DATE).Google ScholarGoogle Scholar
  34. F. Fraternali, B. Balaji, Y. Agarwal, L. Benini, and R. Gupta. 2018. Pible: Battery-Free Mote for Perpetual Indoor BLE Applications. In Proceedings of the 5th Conference on Systems for Built Environments (BUILDSYS).Google ScholarGoogle Scholar
  35. M. Furlong, J. Hester, K. Storer, and J. Sorber. 2016. Realistic Simulation for Tiny Batteryless Sensors. In Proceedings of the 4th International Workshop on Energy Harvesting and Energy-Neutral Sensing Systems (ENSSYS).Google ScholarGoogle Scholar
  36. A. Gomez, L. Sigrist, M. Magno, L. Benini, and L. Thiele. 2016. Dynamic Energy Burst Scaling for Transiently Powered Systems. In Proceedings of the 2016 Conference on Design, Automation & Test in Europe (DATE).Google ScholarGoogle Scholar
  37. A. Gomez, L. Sigrist, T. Schalch, L. Benini, and L. Thiele. 2017. Efficient, Long-Term Logging of Rich Data Sensors Using Transient Sensor Nodes. ACM Transactions on Embeddded Computing Systems (2017).Google ScholarGoogle Scholar
  38. M. Guarducci. 2015. Ricordo della Magia in un Graffito del Mitreo del Circo Massimo. In Mysteria Mithrae. In Italian.Google ScholarGoogle Scholar
  39. J. Hester, T. Scott, and J. Sorber. 2014. Ekho: Realistic and Repeatable Experimentation for Tiny Energy-harvesting Sensors. In Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems (SENSYS).Google ScholarGoogle Scholar
  40. J. Hester and J. Sorber. 2017. Flicker: Rapid Prototyping for the Batteryless Internet-of-Things. In Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems (SENSYS).Google ScholarGoogle Scholar
  41. J. Hester and J. Sorber. 2017. The Future of Sensing is Batteryless, Intermittent, and Awesome. In Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems (SENSYS).Google ScholarGoogle Scholar
  42. J. Hester, K. Storer, and J. Sorber. 2017. Timely Execution on Intermittently Powered Batteryless Sensors. In Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems (SENSYS).Google ScholarGoogle Scholar
  43. R. C. Hibbeler and T. Kiang. 2015. Structural analysis. Pearson Prentice Hall Upper Saddle River.Google ScholarGoogle Scholar
  44. T. W. Hnat, V. Srinivasan, J. Lu, T. I. Sookoor, R. Dawson, J. Stankovic, and K. Whitehouse. 2011. The Hitchhiker's Guide to Successful Residential Sensing Deployments. In Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems (SENSYS).Google ScholarGoogle Scholar
  45. N. Ikeda, R. Shigeta, J. Shiomi, and Y. Kawahara. 2020. Soil-Monitoring Sensor Powered by Temperature Difference between Air and Shallow Underground Soil. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) (2020).Google ScholarGoogle Scholar
  46. N. Jackson, J. Adkins, and P. Dutta. 2019. Capacity over Capacitance for Reliable Energy Harvesting Sensors. In Proceedings of the 18th International Conference on Information Processing in Sensor Networks (IPSN).Google ScholarGoogle Scholar
  47. H. Jayakumar, A. Raha, W. S. Lee, and V. Raghunathan. 2015. QuickRecall: A HW/SW Approach for Computing Across Power Cycles in Transiently Powered Computers. ACM Journal on Emerging Technologies in Computing Systems (2015).Google ScholarGoogle Scholar
  48. H. Jayakumar, A. Raha, J. R. Stevens, and V. Raghunathan. 2017. Energy-Aware Memory Mapping for Hybrid FRAM-SRAM MCUs in Intermittently-Powered IoT Devices. ACM Transactions on Embedded Computing Systems (2017).Google ScholarGoogle Scholar
  49. C. Kircher, A. Nassar, O. Kustu, and W. Holmes. 1997. Development of building damage functions for earthquake loss estimation. Earthquake spectra 13, 4 (1997).Google ScholarGoogle Scholar
  50. V. Kortbeek, K. S. Yildirim, A. Bakar, J. Sorber, J. Hester, and P. Pawelczak. 2020. Time-Sensitive Intermittent Computing Meets Legacy Software. In Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS).Google ScholarGoogle Scholar
  51. T. T. Lai, W. Chen, K. Li, P. Huang, and H. Chu. 2012. TriopusNet: Automating wireless sensor network deployment and replacement in pipeline monitoring. In Proceedings of the 11th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).Google ScholarGoogle Scholar
  52. H. N. Lechtman and L. W. Hobbs. 1987. Roman concrete and the Roman architectural revolution. In High-Technology Ceramics: Past, Present, and Future-The Nature of Innovation and Change in Ceramic Technology.Google ScholarGoogle Scholar
  53. E. A. Lee and S. A Seshia. 2016. Introduction to embedded systems: A cyber-physical systems approach. Mit Press.Google ScholarGoogle ScholarDigital LibraryDigital Library
  54. Libelium. [n.d.]. Waspmote. Retrieved July 10th, 2020 from http://www.libelium.com/products/waspmote/Google ScholarGoogle Scholar
  55. G. Loubet, A. Takacs, and D. Dragomirescu. 2019. Implementation of a Battery-Free Wireless Sensor for Cyber-Physical Systems Dedicated to Structural Health Monitoring Applications. IEEE Access (2019).Google ScholarGoogle Scholar
  56. B. Lubelli, R.P.J. Van Hees, and C.J.W.P. Groot. 2006. Sodium chloride crystallization in a salt-transporting restoration plaster. Cement and concrete research (2006).Google ScholarGoogle Scholar
  57. B. Lucia and B. Ransford. 2015. A Simpler, Safer Programming and Execution Model for Intermittent Systems. In Proceedings of the 36th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI).Google ScholarGoogle Scholar
  58. G. Lukosevicius, A. R. Arreola, and A. S. Weddell. 2017. Using Sleep States to Maximize the Active Time of Transient Computing Systems. In Proceedings of the ACM International Workshop on Energy Harvesting and Energy-Neutral Sensing Systems (ENSSYS).Google ScholarGoogle Scholar
  59. K. Maeng, A. Colin, and B. Lucia. 2017. Alpaca: Intermittent Execution Without Checkpoints. Proceedings of the ACM Programming Languages (2017).Google ScholarGoogle Scholar
  60. K. Maeng and B. Lucia. 2018. Adaptive dynamic checkpointing for safe efficient intermittent computing. In Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI).Google ScholarGoogle Scholar
  61. K. Maeng and B. Lucia. 2019. Supporting Peripherals in Intermittent Systems with Just-in-Time Checkpoints. In Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI) (PLDI).Google ScholarGoogle Scholar
  62. A. Y. Majid, C. Delle Donne, K. Maeng, A. Colin, K. S. Yildirim, B. Lucia, and P. Pawelczak. 2020. Dynamic Task-Based Intermittent Execution for Energy-Harvesting Devices. ACM Transactions on Sensor Networks (2020).Google ScholarGoogle Scholar
  63. R. Marfievici, P. Corbalán, D. Rojas, A. McGibney, S. Rea, and D. Pesch. 2017. Tales from the C130 Horror Room: A Wireless Sensor Network Story in a Data Center. In Proceedings of the First ACM International Workshop on the Engineering of Reliable, Robust, and Secure Embedded Wireless Sensing Systems (FAILSAFE).Google ScholarGoogle Scholar
  64. P. Martin, Z. Charbiwala, and M. Srivastava. 2012. DoubleDip: Leveraging Thermoelectric Harvesting for Low Power Monitoring of Sporadic Water Use. In Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems (SENSYS).Google ScholarGoogle Scholar
  65. G. V. Merrett and B. M. Al-Hashimi. 2017. Energy-Driven Computing: Rethinking the Design of Energy Harvesting Systems. In Proceedings of the Conference on Design, Automation & Test in Europe (DATE).Google ScholarGoogle Scholar
  66. L. Mottola, G. P. Picco, M. Ceriotti, S. Guna, and A. L. Murphy. 2010. Not All Wireless Sensor Networks Are Created Equal: A Comparative Study on Tunnels. ACM Transactions on Sensor Networks (2010).Google ScholarGoogle Scholar
  67. F. E. Murphy, E. Popovici, P. Whelan, and M. Magno. 2015. Development of an heterogeneous wireless sensor network for instrumentation and analysis of beehives. In Proceedings of the IEEE International Instrumentation and Measurement Technology Conference (I2MTC).Google ScholarGoogle Scholar
  68. M. Navarro, T. W. Davis, Y. Liang, and X. Liang. 2013. A study of long-term WSN deployment for environmental monitoring. In Proceedings of the 24th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).Google ScholarGoogle Scholar
  69. S. Peng and C. P. Low. 2012. Throughput optimal energy neutral management for energy harvesting wireless sensor networks. In Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC).Google ScholarGoogle Scholar
  70. A. I. Petrariu, A. Lavric, and E. Coca. 2019. Renewable Energy Powered LoRa-based IoT Multi Sensor Node. In Proceedings of the 25th IEEE International Symposium for Design and Technology in Electronic Packaging (SIITME).Google ScholarGoogle Scholar
  71. Piezo.com. [n.d.]. Q220-H4BR-2513YB piezoelectric bending transducer. Retrieved July 8th, 2020 from https://piezo.com/products/piezoelectric-bending-transducer-q220-h4br-2513ybGoogle ScholarGoogle Scholar
  72. B. Ransford, J. Sorber, and K. Fu. 2011. Mementos: System Support for Long-running Computation on RFID-scale Devices. ACM SIGARCH Computer Architecture News (2011).Google ScholarGoogle ScholarDigital LibraryDigital Library
  73. A. Rodriguez, D. Balsamo, Z. Luo, S. P. Beeby, G. V. Merrett, and A. S. Weddell. 2017. Intermittently-powered energy harvesting step counter for fitness tracking. In Proceedings of the IEEE Sensors Applications Symposium (SAS).Google ScholarGoogle Scholar
  74. E. Ruppel and B. Lucia. 2019. Transactional Concurrency Control for Intermittent, Energy-harvesting Computing Systems. In Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI).Google ScholarGoogle Scholar
  75. M. M. Sandhu, K. Geissdoerfer, S. Khalifa, R. Jurdak, M. Portmann, and B. Kusy. 2020. Towards Optimal Kinetic Energy Harvesting for the Batteryless IoT. arXiv preprint arXiv:2002.08887 (2020).Google ScholarGoogle Scholar
  76. N. Saoda and B. Campbell. 2019. No Batteries Needed: Providing Physical Context with Energy-Harvesting Beacons. In Proceedings of the 7th International Workshop on Energy Harvesting & Energy-Neutral Sensing Systems (ENSSYS).Google ScholarGoogle Scholar
  77. U. Senkans, D. Balsamo, T. D. Verykios, and G. V. Merrett. 2017. Applications of Energy-Driven Computing: A Transiently-Powered Wireless Cycle Computer. In Proceedings of the 5th ACM International Workshop on Energy Harvesting and Energy-Neutral Sensing Systems (ENSSYS).Google ScholarGoogle Scholar
  78. V. Sharma, U. Mukherji, V. Joseph, and S. Gupta. 2010. Optimal energy management policies for energy harvesting sensor nodes. IEEE Transactions on Wireless Communications (2010).Google ScholarGoogle Scholar
  79. L. Spadaro, M. Magno, and L. Benini. 2016. Poster Abstract: KinetiSee - A Perpetual Wearable Camera Acquisition System with a Kinetic Harvester. In Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).Google ScholarGoogle Scholar
  80. R. Szewczyk, A. Mainwaring, J. Polastre, J. Anderson, and D. Culler. 2004. An Analysis of a Large Scale Habitat Monitoring Application. In Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems (SENSYS).Google ScholarGoogle Scholar
  81. C. Tavolieri and P. Ciafardoni. 2010. Mithra. Un viaggio dall'Oriente a Roma: l'esempio del Mitreo del Circo Massimo. Archaeology Archives, BA (2010). In Italian.Google ScholarGoogle Scholar
  82. Thermalforce. [n.d.]. 254-150-36 TEG. Retrieved July 10th, 2020 from https://www.dropbox.com/s/4xx1z2gwddntc42/TG254-150-36l.pdf?dl=0Google ScholarGoogle Scholar
  83. M. Thielen, L. Sigrist, M. Magno, C. Hierold, and L. Benini. 2017. Human body heat for powering wearable devices: From thermal energy to application. Energy conversion and management (2017).Google ScholarGoogle Scholar
  84. UNESCO. [n.d.]. Heritage Site Rome. Retrieved July 10th, 2020 from https://whc.unesco.org/en/list/91/Google ScholarGoogle Scholar
  85. J. Van Der Woude and M. Hicks. 2016. Intermittent Computation Without Hardware Support or Programmer Intervention. In Proceedings of the 12th USENIX Conference on Operating Systems Design and Implementation (OSDI).Google ScholarGoogle Scholar
  86. Y. Wang. 2008. Topology Control for Wireless Sensor Networks. In Wireless sensor networks and applications. Springer.Google ScholarGoogle Scholar
  87. G. Werner-Allen, K. Lorincz, J. Johnson, J. Lees, and M. Welsh. 2006. Fidelity and Yield in a Volcano Monitoring Sensor Network. In Proceedings of the Symposium on Operating Systems Design and Implementation (OSDI).Google ScholarGoogle Scholar
  88. Wikipedia. [n.d.]. COVTD-19 pandemic lockdown in Italy. Retrieved July 10th, 2020 from https://en.wikipedia.org/wiki/COVID-19_pandemic_lockdown_in_ItalyGoogle ScholarGoogle Scholar
  89. K. S. Yildirim, A. Y. Majid, D. Patoukas, K. Schaper, P. Pawelczak, and J. Hester. 2018. InK: Reactive Kernel for Tiny Batteryless Sensors. In Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems (SENSYS).Google ScholarGoogle Scholar
  90. J. Zhang, C. Chen, X. Zhang, and S. Liu. 2016. Study on the environmental risk assessment of batteries. Procedia Environmental Sciences (2016).Google ScholarGoogle Scholar

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        cover image ACM Conferences
        SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems
        November 2020
        852 pages
        ISBN:9781450375900
        DOI:10.1145/3384419

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