Adjustment approach for low power WSN
Résumé
Energy presents a crucial subject of study for researchers in the Internet of Things (IoT) and especially in the Wireless Sensors Networks (WSNs). Our work is interested in the technology of IEEE 802.15.4. Indeed, the latter proves to display several noticeable spe- cificities and characteristics qualifying it, displaying two different operating modes, na- mely the Beacon enabled mode and the non-Beacon enabled one. In the present work, a multi-threshold approach is proposed. It consists of adjusting the remaining energy in the battery of the sensor node whenever the designated energy threshold is reached. To control the activity level of the sensor node via reducing the energy consumption, the Superframe Duration SD and the Beacon Interval BI are adjusted. Many thresholds were activated to prove the efficiency of our proposed methodology. The different simulation results were compared to four other methods.