Energy Model for the Design of Ultra-Low Power Nodes for Wireless Sensor Networks

Terrasson, Guillaume; Briand, Renaud; Basrour, Skandar; Dupé, Valérie; Arrijuria, Olivier

doi:10.1016/j.proche.2009.07.298

Cited by 16 publications

(17 citation statements)

References 8 publications

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“…Wireless Sensor nodes enable a wide range of applications, such as infrastructure security, environment monitoring, event detection, etc. [ 1 ]. Such applications have the purpose of collecting information about a given phenomena or event.…”

Section: Introductionmentioning

confidence: 99%

“…These sensor nodes are generally deployed in harsh and inaccessible environments. For these reasons, sensor nodes are supposed to operate over long time periods without human intervention [ 1 , 2 ].…”

Section: Introductionmentioning

confidence: 99%

“…Modeling of energy consumption is an important consideration in the design of communicating sensors for monitoring a specific target application. Communicating sensors should perform the following tasks for most applications [ 1 , 3 ]: sense events, local information processing of sensed events and packet transmission to the access point [ 3 , 4 ]. Each task consumes a power consumption amount during a given time duration.…”

Section: Introductionmentioning

confidence: 99%

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Energy Consumption Model for Sensor Nodes Based on LoRa and LoRaWAN

Bouguera

Diouris

Chaillout

et al. 2018

Sensors

296

185

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Energy efficiency is the key requirement to maximize sensor node lifetime. Sensor nodes are typically powered by a battery source that has finite lifetime. Most Internet of Thing (IoT) applications require sensor nodes to operate reliably for an extended period of time. To design an autonomous sensor node, it is important to model its energy consumption for different tasks. Each task consumes a power consumption amount for a period of time. To optimize the consumed energy of the sensor node and have long communication range, Low Power Wide Area Network technology is considered. This paper describes an energy consumption model based on LoRa and LoRaWAN, which allows estimating the consumed power of each sensor node element. The definition of the different node units is first introduced. Then, a full energy model for communicating sensors is proposed. This model can be used to compare different LoRaWAN modes to find the best sensor node design to achieve its energy autonomy.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Energy Consumption Model for Sensor Nodes Based on LoRa and LoRaWAN

Bouguera

Diouris

Chaillout

et al. 2018

Sensors

296

185

View full text Add to dashboard Cite

show abstract

“…Although the RF activities are responsible for the major part of the energy consumption in the node, the consumption of CPU and sensors cannot be neglected. In [46], authors calculate the power consumption average of the sensor unit, the RF module, and the microcontroller for a WSN application. In their specific application the average of power consumed for the RF activities were 62%, the average of power consumed for the sensor and the microcontroller were 14% and 24% respectively; which means that the RF activities can consume more than the sum of the other units.…”

Section: Discussion About the Proposed Methodsological Approachmentioning

confidence: 99%

WSN Simulators Evaluation: an Approach Focusing on Energy Awareness

Bakni¹,

Chacón²,

Cardinale³

et al. 2019

IJWMN

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The large number of Wireless Sensor Networks (WSN) simulators available nowadays, differ in their design, goals, and characteristics. Users who have to decide which simulator is the most appropriate for their particular requirements, are today lost, faced with a panoply of disparate and diverse simulators. Hence, it is obvious the need for establishing guidelines that support users in the tasks of selecting a simulator to suit their preferences and needs. In previous works, we pro-posed a generic and novel approach to evaluate networks simulators, considering a methodological process and a set of qualitative and quantitative criteria. In particularly, for WSN simulators, the criteria include relevant aspects for this kind of networks, such as energy consumption modelling and scalability capacity. The aims of this work are: (i) describe deeply the criteria related to WSN aspects; (ii) extend and update the state of the art of WSN simulators elaborated in our previous works to identify the most used and cited in scientific articles; and (iii) demonstrate the suitability of our novel methodological approach by evaluating and comparing the three most cited simulators, specially in terms of energy modelling and scalability capacities. Results show that our proposed approach provides researchers with an evaluation tool that can be used to describe and compare WSN simulators in order to select the most appropriate one for a given scenario.

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“…The total energy consumption by the sensor node can be expressed as the sum of the energy consumption by each element [21]:

E_{node} = E_{sensor} + E_{μ c} + E_{trans} + E_{recv}

…”

Section: Problem Description and Formulationmentioning

confidence: 99%

A Uniform Energy Consumption Algorithm for Wireless Sensor and Actuator Networks Based on Dynamic Polling Point Selection

Peng

Liu

et al. 2013

Sensors

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Recent research has indicated that using the mobility of the actuator in wireless sensor and actuator networks (WSANs) to achieve mobile data collection can greatly increase the sensor network lifetime. However, mobile data collection may result in unacceptable collection delays in the network if the path of the actuator is too long. Because real-time network applications require meeting data collection delay constraints, planning the path of the actuator is a very important issue to balance the prolongation of the network lifetime and the reduction of the data collection delay. In this paper, a multi-hop routing mobile data collection algorithm is proposed based on dynamic polling point selection with delay constraints to address this issue. The algorithm can actively update the selection of the actuator's polling points according to the sensor nodes' residual energies and their locations while also considering the collection delay constraint. It also dynamically constructs the multi-hop routing trees rooted by these polling points to balance the sensor node energy consumption and the extension of the network lifetime. The effectiveness of the algorithm is validated by simulation.

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Energy Model for the Design of Ultra-Low Power Nodes for Wireless Sensor Networks

Cited by 16 publications

References 8 publications

Energy Consumption Model for Sensor Nodes Based on LoRa and LoRaWAN

Energy Consumption Model for Sensor Nodes Based on LoRa and LoRaWAN

WSN Simulators Evaluation: an Approach Focusing on Energy Awareness

A Uniform Energy Consumption Algorithm for Wireless Sensor and Actuator Networks Based on Dynamic Polling Point Selection

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