Enhanced Sleep/Awake Schedule with Multi-Hop Hierarchical Routing Algorithm for Wireless Sensor Networks

Srikanth, Nandoori; Neha, N.; Mamatha, K.; Adithya, Prashanth Chetlur; Rutvik, P

doi:10.2139/ssrn.3624701

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This first scenario makes it possible to reduce the length of the queue of data stored in the sensor [62]. In the second case, it is considered that the transmission of a data size is fixed in advance at the greatest possible distance; this strategy would be suitable for fairly dense mesh networks and minimize transmission delays due to multi-hop communications [63]. The duty cycle strategy is the third case dealt with; it applies when the data size and transmission range are previously defined.…”

Section: Management Of the Harvested Energymentioning

confidence: 99%

Piezoelectric Energy Harvesting Prediction and Efficient Management for Industrial Wireless Sensor

2020

View full text Add to dashboard Cite

The vibrations, due to their abundance in most industrial processes, constitute an attractive solution for the power supply of Industrial Wireless Sensor (IWS). However, the amount of energy that can be harvested presents numerous fluctuations due to the engines’ different operating modes (overload, full load, or even operation without charge). Most designs do not incorporate this fluctuation in the definition of the specifications of the autonomous IWS. This paper then presents a design method to ensure the node’s energy autonomy while maximizing its Quality of Service (QoS). To precisely define the specifications of the IWS, vibration measurements were carried out at its location for one month. The recorded data was used to propose a new Predictor of the Harvestable Energy from Vibrations (PHEV). A comparative evaluation of the proposed PHEV performances with a state-of-the-art predictor is carried out. The results obtained show that the PHEV makes it possible to minimize the Root Mean Square Error (RMSE) from 28.63 mW to 19.52 mW. A model of energy dissipation in IWS, considering the Internet of Things’ requirements, was established. The model is based on Long-Range (LoRa)/Long-Range Communication Wide Area Network (LoRaWan). The amount of data transmitted is then maximized according to the expected energy harvest rate by setting up a Maximization Data Size Protocol (MDSP). The proposed method makes it possible to ensure an acceptable QoS without resorting to reconfigurable circuits, which are sometimes bulky for miniature devices such as the IWS.

show abstract

Section: Management Of the Harvested Energymentioning

confidence: 99%