E‐LiteSense: Self‐adaptive energy‐aware data sensing in WSN environments. (5th September 2019)

• Record Type: Journal Article
• Authors: Silva, João Marco; Carvalho, Paulo; Bispo, Kalil Araujo; Rito Lima, Solange
• Other Names: Souihi Sami guestEditor.; Bitam Salim guestEditor.; Mellouk Abdelhamid guestEditor.; Abreu Thiago guestEditor.; Hoceini Said guestEditor.; Fowler Scott guestEditor.; Medileh Saci guestEditor.; De Swades guestEditor.; Shami Abdallah guestEditor.
• Is Part Of: International journal of communication systems. Volume 33:Number 10(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-09-05
• Subjects: adaptive sensing -- data collection -- energy‐aware sensing -- wireless sensor networks; Telecommunication systems -- Periodicals; 621.382
• DOI: 10.1002/dac.4153
• Languages: English
• ISSNs: 1074-5351

Abstract

Summary: Currently deployed in a wide variety of applicational scenarios, wireless sensor networks (WSNs) are typically a resource‐constrained infrastructure. Consequently, characteristics such as WSN adaptability, low‐overhead, and low‐energy consumption are particularly relevant in dynamic and autonomous sensing environments where the measuring requirements change and human intervention is not viable. To tackle this issue, this article proposes e‐LiteSense as an adaptive, energy‐aware sensing solution for WSNs, capable of auto‐regulate how data are sensed, adjusting it to each applicational scenario. The proposed adaptive scheme is able to maintain the sensing accuracy of the physical phenomena, while reducing the overall process overhead. In this way, the adaptive algorithm relies on low‐complexity rules to establish the sensing frequency weighting the recent drifts of the physical parameter and the levels of remaining energy in the sensor. Using datasets from WSN operational scenarios, we prove e‐LiteSense effectiveness in self‐regulating data sensing accurately through a low‐overhead process where the WSN energy levels are preserved. This constitutes a step‐forward for implementing self‐adaptive energy‐aware data sensing in dynamic WSN environments. Abstract : e‐LiteSense is an adaptive, energy‐aware sensing solution for WSNs, capable of auto‐regulate data sensing, adjusting it to each applicational scenario. e‐LiteSense is able to maintain the sensing accuracy of the physical phenomena, while reducing the overall process overhead. The adaptive scheme relies on low‐complexity rules to establish the sensing frequency weighting the drifts of the physical parameter and the levels of remaining energy in the sensor. This constitutes a step‐forward for implementing self‐adaptive energy‐aware data sensing in dynamic WSN environments.