Hardware Architecture Design for WSN Runtime Extension
Internet of Things imposes demanding requirements on wireless sensor networks as key players in context awareness procurement. Temporal and spatial ubiquities are one of the essential features that meet technology boundaries in terms of energy management. Limited energy availability makes anywhere a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2013-04-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2013/136745 |
| _version_ | 1797713946367492096 |
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| author | Ángel Asensio Rubén Blasco Álvaro Marco Roberto Casas |
| author_facet | Ángel Asensio Rubén Blasco Álvaro Marco Roberto Casas |
| author_sort | Ángel Asensio |
| collection | DOAJ |
| description | Internet of Things imposes demanding requirements on wireless sensor networks as key players in context awareness procurement. Temporal and spatial ubiquities are one of the essential features that meet technology boundaries in terms of energy management. Limited energy availability makes anywhere and anytime sensing a challenging task that forces sensor nodes to wisely use every bit of available power. One of the earliest and most determining decisions in the electronic design stage is the choice of the silicon building blocks that will conform hardware architecture. Designers have to choose between dual architectures (based on a low-power microcontroller controlling a radio module) and single architectures (based on a system on chip). This decision, together with finite state machine design and application firmware, is crucial to minimize power consumption while maintaining expected sensor node performance. This paper provides keys for energy analysis of wireless sensor node architecture according to the specific requirements of any application. It thoroughly analyzes pros and cons of dual and single architectures providing designers with the basis to select the most efficient for each application. It also provides helpful considerations for optimal sensing-system design, analyzing how different strategies for sensor measuring and data exchanging affect node energy consumption. |
| first_indexed | 2024-03-12T07:44:49Z |
| format | Article |
| id | doaj.art-47ee9896a49a4b2d9e4a9e9d003bf9a0 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T07:44:49Z |
| publishDate | 2013-04-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-47ee9896a49a4b2d9e4a9e9d003bf9a02023-09-02T21:03:29ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772013-04-01910.1155/2013/136745Hardware Architecture Design for WSN Runtime ExtensionÁngel AsensioRubén BlascoÁlvaro MarcoRoberto CasasInternet of Things imposes demanding requirements on wireless sensor networks as key players in context awareness procurement. Temporal and spatial ubiquities are one of the essential features that meet technology boundaries in terms of energy management. Limited energy availability makes anywhere and anytime sensing a challenging task that forces sensor nodes to wisely use every bit of available power. One of the earliest and most determining decisions in the electronic design stage is the choice of the silicon building blocks that will conform hardware architecture. Designers have to choose between dual architectures (based on a low-power microcontroller controlling a radio module) and single architectures (based on a system on chip). This decision, together with finite state machine design and application firmware, is crucial to minimize power consumption while maintaining expected sensor node performance. This paper provides keys for energy analysis of wireless sensor node architecture according to the specific requirements of any application. It thoroughly analyzes pros and cons of dual and single architectures providing designers with the basis to select the most efficient for each application. It also provides helpful considerations for optimal sensing-system design, analyzing how different strategies for sensor measuring and data exchanging affect node energy consumption.https://doi.org/10.1155/2013/136745 |
| spellingShingle | Ángel Asensio Rubén Blasco Álvaro Marco Roberto Casas Hardware Architecture Design for WSN Runtime Extension International Journal of Distributed Sensor Networks |
| title | Hardware Architecture Design for WSN Runtime Extension |
| title_full | Hardware Architecture Design for WSN Runtime Extension |
| title_fullStr | Hardware Architecture Design for WSN Runtime Extension |
| title_full_unstemmed | Hardware Architecture Design for WSN Runtime Extension |
| title_short | Hardware Architecture Design for WSN Runtime Extension |
| title_sort | hardware architecture design for wsn runtime extension |
| url | https://doi.org/10.1155/2013/136745 |
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