Experimental Performance Evaluation of POBICOS Middleware for Wireless Sensor Networks

Hiltunen, J. Kalervo; Ala-Louko, Mikko; Taumberger, Markus

doi:10.5402/2012/180369

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…One limitation of using measurement techniques is the setting-up of the aforementioned environment, which is composed of several elements. For that reason, it is usual to evaluate the impact of encryption algorithms (e.g., RC5, RSA) [2], the middleware (e.g., POCOBOS) [13], and the operating system (e.g., TinyOS, Contiki) [22] on the application's power consumption in a single WSN node. In these cases, some approaches [20] take for granted that the power consumption of the whole network may be deduced from the measured consumption of this individual node as the nodes usually have the same configurations (e.g., application, mote, operating system, and so on).…”

Section: Related Workmentioning

confidence: 99%

Using Coloured Petri Nets for Evaluating the Power Consumption of Wireless Sensor Networks

Dâmaso

Rosa

Maciel

2014

International Journal of Distributed Sensor Networks

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Several strategies to evaluate the power consumption of of wireless sensor networks (WSNs) have been proposed. The limited amount of energy and the difficulty of recharging them have demanded the emerging of these strategies. However, to evaluate the lifetime of a WSN is not a trivial task due to the complexity of reproducing the environment, inherent dynamism, and complexity and size of WSNs. In this context, we present an approach for evaluating the WSN lifetime by simulating its power consumption using models. This approach consists of a fully automated process for evaluating the WSN lifetime, a set of reusable Coloured Petri Net (CPN) models that express the power consumption of WSN communication protocols, and a strategy for composing CPN models of WSN applications and protocols. In order to assess our power consumption models, we carried out an experimental evaluation that compares the results obtained by simulation against ones existing in the literature.

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Section: Related Workmentioning

confidence: 99%

Using Coloured Petri Nets for Evaluating the Power Consumption of Wireless Sensor Networks

Dâmaso

Rosa

Maciel

2014

International Journal of Distributed Sensor Networks

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“…Hiltunen et al [2] evaluated the performance and power consumption of the POCOBOS middleware through measurement in Imote2. In particular, their objective was to show the impact on the middleware in the performance and power consumption.…”

Section: Related Workmentioning

confidence: 99%

Evaluating the Power Consumption of Wireless Sensor Network Applications Using Models

Dâmaso

Freitas

Rosa

et al. 2013

Sensors

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Power consumption is the main concern in developing Wireless Sensor Network (WSN) applications. Consequently, several strategies have been proposed for investigating the power consumption of this kind of application. These strategies can help to predict the WSN lifetime, provide recommendations to application developers and may optimize the energy consumed by the WSN applications. While measurement is a known and precise strategy for power consumption evaluation, it is very costly, tedious and may be unfeasible considering the (usual) large number of WSN nodes. Furthermore, due to the inherent dynamism of WSNs, the instrumentation required by measurement techniques makes difficult their use in several different scenarios. In this context, this paper presents an approach for evaluating the power consumption of WSN applications by using simulation models along with a set of tools to automate the proposed approach. Starting from a programming language code, we automatically generate consumption models used to predict the power consumption of WSN applications. In order to evaluate the proposed approach, we compare the results obtained by using the generated models against ones obtained by measurement.

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“…One of the best ways to evaluate power consumption is doing the test on the physical hardware directly, by periodically measuring the remaining batteries, which measures power consumption by using traditional measurement using oscilloscope on one node [13]. Besides, there are also another ways to measure battery capacity by using different operating systems in each node to analyze and compare the consumption of lower current from the sensor nodes during the implementation of an application that runs on different platform operating systems [14] while other studies evaluated the power consumption of the use of POBICOS middleware platform application [15].…”

Section: Introductionmentioning

confidence: 99%

WSN nodes power consumption using multihop routing protocol for illegal cutting forest

2020

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The need for an automation system from a remote area cannot be separated from the role of the wireless sensor network. However, the battery consumption is still a problem that influences the lifetime of the system. This research focused on studying how to characterize the power consumption on each sensor node using multihop routing protocol in the illegal logging field, to get the prediction lifetime of the network. The system is designed by using six sensor nodes in a master-slave connection and implemented in a tree topology. Each sensor node is consisting of a sound sensor, vibration sensor, Xbee communication, current and voltage sensor, and Arduino nano. The system is tested using battery 10050 mAH with several scenarios to have calculated how long the battery lifetime can be predicted. The results stated that the master node on the network depleted the power of the battery faster than the slave node since the more slaves connected to the master, the more energy the battery consumes.

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Experimental Performance Evaluation of POBICOS Middleware for Wireless Sensor Networks

Cited by 6 publications

References 14 publications

Using Coloured Petri Nets for Evaluating the Power Consumption of Wireless Sensor Networks

Using Coloured Petri Nets for Evaluating the Power Consumption of Wireless Sensor Networks

Evaluating the Power Consumption of Wireless Sensor Network Applications Using Models

WSN nodes power consumption using multihop routing protocol for illegal cutting forest

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