Timing based energy efficient task assignment algorithm for real time embedded systems

Gowtham, S; Poongothai, M.

doi:10.1109/iccpct.2016.7530189

Cited by 1 publication

(1 citation statement)

References 7 publications

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“…In addition, and directly related to the quest for reduction of consumption, algorithms have been published in the literature for adapting the workload demand for better energy management [9]. Nevertheless, other works have made several relevant contributions for sensor networks by considering the effect of duty cycling and buffering to harness the so-called regeneration effect of batteries as an energy-saving mechanism [10,11].…”

Section: Introductionmentioning

confidence: 99%

A New Method for Gaining the Control of Standalone Underwater Sensor Nodes Based on Power Supply Sensing

García

Montiel–Nelson

Bautista

et al. 2021

Sensors

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In this paper, a new method for gaining the control of standalone underwater sensor nodes based on sensing the power supply evolution is presented. Underwater sensor networks are designed to support multiple extreme scenarios such as network disconnections. In those cases, the sensor nodes involved should go into standalone, and its wired and wireless communications should be disabled. This paper presents how to exit from the standalone status and enter into debugging mode following a practical ultra-low power design methodology. In addition, the discharge and regeneration effects are analyzed and modeled to minimize the error using the sensor node self measurements. Once the method is presented, its implementation details are discussed including other solutions like wake up wireless modules or a pin interruption solution. Its advantages and disadvantages are discussed. The method proposed is evaluated with several simulations and laboratory experiments using a real aquaculture sensor node. Finally, all the results obtained demonstrate the usefulness of our new method to gain the control of a standalone sensor node. The proposal is better than other approaches when the hibernation time is longer than 167.45 μs. Finally, our approach requires two orders of magnitude less energy than the best practical solution.

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Section: Introductionmentioning

confidence: 99%