{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-multi-layered-energy-consumption-model-for","title":"A multi-layered energy consumption model for smart wireless acoustic sensor networks","arxiv_id":"1812.06672","date":"2018-12-17","proceeding":null,"authors":["Gert Dekkers","Fernando Rosas","Steven Lauwereins","Sreeraj Rajendran","Sofie Pollin","Bart Vanrumste","Toon van Waterschoot","Marian Verhelst","Peter Karsmakers"],"abstract":"Smart sensing is expected to become a pervasive technology in smart cities\nand environments of the near future. These services are improving their\ncapabilities due to integrated devices shrinking in size while maintaining\ntheir computational power, which can run diverse Machine Learning algorithms\nand achieve high performance in various data-processing tasks. One attractive\nsensor modality to be used for smart sensing are acoustic sensors, which can\nconvey highly informative data while keeping a moderate energy consumption.\nUnfortunately, the energy budget of current wireless sensor networks is usually\nnot enough to support the requirements of standard microphones. Therefore,\nenergy efficiency needs to be increased at all layers --- sensing, signal\nprocessing and communication --- in order to bring wireless smart acoustic\nsensors into the market. To help to attain this goal, this paper introduces\nWASN-EM: an energy consumption model for wireless acoustic sensors networks\n(WASN), whose aim is to aid in the development of novel techniques to increase\nthe energy-efficient of smart wireless acoustic sensors. This model provides a\nfirst step of exploration prior to custom design of a smart wireless acoustic\nsensor, and also can be used to compare the energy consumption of different\nprotocols.","url_abs":"http://arxiv.org/abs/1812.06672v1","url_pdf":"http://arxiv.org/pdf/1812.06672v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-multi-layered-energy-consumption-model-for","repo_url":"https://github.com/gertdekkers/WASN_EM","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}