Simulating power/energy consumption of sensor nodes with flexible hardware in wireless networks

Zhang, Jingyao; Iyer, Sathiyanarayanan Kulathu; Schaumont, Patrick; Yang, Yaling

doi:10.1109/secon.2012.6275767

Cited by 9 publications

(4 citation statements)

References 11 publications

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“…The difficulty and inefficiency of replacing batteries or power supplies of dead nodes (because the number of nodes can be large and deployment can be arbitrary) pose serious challenges in meeting application requirements [61,62]. Sensor nodes are limited in size and weight, and each node in a WSN consists of a power supply (e.g., a battery), a small memory module, a small CPU, and an antenna, as shown in Figure 2.…”

Section: Wsn's Componentsmentioning

confidence: 99%

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Variants of the Low-Energy Adaptive Clustering Hierarchy Protocol: Survey, Issues and Challenges

et al. 2018

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Abstract:A wireless sensor network (WSN) is a modern technology in radio communication. A WSN comprises a number of sensors that are randomly spread in a specific area for sensing and monitoring physical attributes that are difficult to monitor by humans, such as temperature, humidity, and pressure. Many problems, including data routing, power consumption, clustering, and selecting cluster heads (CHs), may occur due to the nature of WSNs. Various protocols have been conducted to resolve these issues. One of the important hierarchical protocols that are used to reduce power consumption in WSNs is low-energy adaptive clustering hierarchy (LEACH). This paper presents a comprehensive study of clustering protocols for WSNs that are relevant to LEACH. This paper is the first to emphasis on cluster formation and CHs selection methods and their strengths and weaknesses. A new taxonomy is presented to discuss LEACH variants on the basis of different classes, and the current survey is compared with other existing surveys. A complete comparison of the location, energy, complexity, reliability, multi-hop path, and load balancing characteristics of LEACH variants is conducted. Future research guidelines for CHs selection and cluster formation in WSNs are also discussed.

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Section: Wsn's Componentsmentioning

confidence: 99%

“…replacing batteries or power supplies of dead nodes (because the number of nodes can be large and deployment can be arbitrary) pose serious challenges in meeting application requirements [61,62].…”

Section: Overview Of the Leach Protocolmentioning

confidence: 99%

Variants of the Low-Energy Adaptive Clustering Hierarchy Protocol: Survey, Issues and Challenges

et al. 2018

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“…The energy estimation based on extracted activity profiles allows for the optimization of application software and underlying communication protocols in order to improve the system energy efficiency. In published literature [9], [10], [11], [12], [13], the activity is appropriately recognized as an important parameter for an accurate sensor node power profiling and estimation. However, it is usually seen as a task for designer without giving it much attention.…”

Section: Activity Modelingmentioning

confidence: 99%

Activity Profiling and Power Estimation for Embedded Wireless Sensor Node Design

Panić

Stamenković

2015

2015 IEEE 18th International Symposium on Design and Diagnostics of Electronic Circuits &Amp; Systems

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The lifetime of a wireless sensor node is determined by the energy required to complete specific tasks defined by network application. To estimate the energy of a sensor node for specific application, it is required to profile its activity for a given application scenario. The paper presents an analytical approach to wireless sensor node activity profiling, which enables a blocklevel extraction of activity profiles. The activity profiling is used for the energy estimation of an embedded sensor node microcontroller. The results of activity profiling are applied to evaluate the proposed power saving strategies.

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“…The effects of WSN architecture and environmental parameters on battery performance were quantified in [7]. A power/energy estimation tool for WSNs was developed in [8].…”

Section: Introductionmentioning

confidence: 99%

Towards a vibration energy harvesting WSN demonstration testbed

Baghaee

Uluşan

Chamanian

et al. 2013

2013 24th Tyrrhenian International Workshop on Digital Communications - Green ICT (TIWDC)

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This paper presents initial results toward the implementation of a wireless sensor network (WSN) demonstration testbed powered up by vibration energy, as part of the E-CROPS project. The testbed uses MicaZ Motes, supplied by AA batteries. The power drawn by Motes in different modes of operation are measured. Design details of an electromagnetic harvester, and experimental results of charging AA batteries with this harvester at 10 Hz vibration generated in the laboratory, are presented.

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Simulating power/energy consumption of sensor nodes with flexible hardware in wireless networks

Cited by 9 publications

References 11 publications

Variants of the Low-Energy Adaptive Clustering Hierarchy Protocol: Survey, Issues and Challenges

Variants of the Low-Energy Adaptive Clustering Hierarchy Protocol: Survey, Issues and Challenges

Activity Profiling and Power Estimation for Embedded Wireless Sensor Node Design

Towards a vibration energy harvesting WSN demonstration testbed

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