A Hardware-Supported Algorithm for Self-Managed and Choreographed Task Execution in Sensor Networks
Nowadays, sensor networks are composed of a great number of tiny resource-constraint nodes, whose management is increasingly more complex. In fact, although collaborative or choreographic task execution schemes are which fit in the most perfect way with the nature of sensor networks, they are rarely...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-03-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/18/3/812 |
| _version_ | 1798040569112428544 |
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| author | Borja Bordel Carlos Miguel Ramón Alcarria Tomás Robles |
| author_facet | Borja Bordel Carlos Miguel Ramón Alcarria Tomás Robles |
| author_sort | Borja Bordel |
| collection | DOAJ |
| description | Nowadays, sensor networks are composed of a great number of tiny resource-constraint nodes, whose management is increasingly more complex. In fact, although collaborative or choreographic task execution schemes are which fit in the most perfect way with the nature of sensor networks, they are rarely implemented because of the high resource consumption of these algorithms (especially if networks include many resource-constrained devices). On the contrary, hierarchical networks are usually designed, in whose cusp it is included a heavy orchestrator with a remarkable processing power, being able to implement any necessary management solution. However, although this orchestration approach solves most practical management problems of sensor networks, a great amount of the operation time is wasted while nodes request the orchestrator to address a conflict and they obtain the required instructions to operate. Therefore, in this paper it is proposed a new mechanism for self-managed and choreographed task execution in sensor networks. The proposed solution considers only a lightweight gateway instead of traditional heavy orchestrators and a hardware-supported algorithm, which consume a negligible amount of resources in sensor nodes. The gateway avoids the congestion of the entire sensor network and the hardware-supported algorithm enables a choreographed task execution scheme, so no particular node is overloaded. The performance of the proposed solution is evaluated through numerical and electronic ModelSim-based simulations. |
| first_indexed | 2024-04-11T22:09:26Z |
| format | Article |
| id | doaj.art-f93f6438b65b4cfea25062b4a7c43011 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:09:26Z |
| publishDate | 2018-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-f93f6438b65b4cfea25062b4a7c430112022-12-22T04:00:36ZengMDPI AGSensors1424-82202018-03-0118381210.3390/s18030812s18030812A Hardware-Supported Algorithm for Self-Managed and Choreographed Task Execution in Sensor NetworksBorja Bordel0Carlos Miguel1Ramón Alcarria2Tomás Robles3Departamento de Ingeniería de Sistemas Telemáticos, Universidad Politécnica de Madrid, Avenida Complutense No. 30, 28040 Madrid, SpainDepartamento de Ingeniería de Sistemas Telemáticos, Universidad Politécnica de Madrid, Avenida Complutense No. 30, 28040 Madrid, SpainDepartamento de Ingeniería Topográfica y Cartografía, Universidad Politécnica de Madrid, UPM Campus Sur, Km 7.5 de la Autovía de Valencia, 28031 Madrid, SpainDepartamento de Ingeniería de Sistemas Telemáticos, Universidad Politécnica de Madrid, Avenida Complutense No. 30, 28040 Madrid, SpainNowadays, sensor networks are composed of a great number of tiny resource-constraint nodes, whose management is increasingly more complex. In fact, although collaborative or choreographic task execution schemes are which fit in the most perfect way with the nature of sensor networks, they are rarely implemented because of the high resource consumption of these algorithms (especially if networks include many resource-constrained devices). On the contrary, hierarchical networks are usually designed, in whose cusp it is included a heavy orchestrator with a remarkable processing power, being able to implement any necessary management solution. However, although this orchestration approach solves most practical management problems of sensor networks, a great amount of the operation time is wasted while nodes request the orchestrator to address a conflict and they obtain the required instructions to operate. Therefore, in this paper it is proposed a new mechanism for self-managed and choreographed task execution in sensor networks. The proposed solution considers only a lightweight gateway instead of traditional heavy orchestrators and a hardware-supported algorithm, which consume a negligible amount of resources in sensor nodes. The gateway avoids the congestion of the entire sensor network and the hardware-supported algorithm enables a choreographed task execution scheme, so no particular node is overloaded. The performance of the proposed solution is evaluated through numerical and electronic ModelSim-based simulations.http://www.mdpi.com/1424-8220/18/3/812Wireless Sensor Networkstask executionalgorithmsresource managementModelSim |
| spellingShingle | Borja Bordel Carlos Miguel Ramón Alcarria Tomás Robles A Hardware-Supported Algorithm for Self-Managed and Choreographed Task Execution in Sensor Networks Sensors Wireless Sensor Networks task execution algorithms resource management ModelSim |
| title | A Hardware-Supported Algorithm for Self-Managed and Choreographed Task Execution in Sensor Networks |
| title_full | A Hardware-Supported Algorithm for Self-Managed and Choreographed Task Execution in Sensor Networks |
| title_fullStr | A Hardware-Supported Algorithm for Self-Managed and Choreographed Task Execution in Sensor Networks |
| title_full_unstemmed | A Hardware-Supported Algorithm for Self-Managed and Choreographed Task Execution in Sensor Networks |
| title_short | A Hardware-Supported Algorithm for Self-Managed and Choreographed Task Execution in Sensor Networks |
| title_sort | hardware supported algorithm for self managed and choreographed task execution in sensor networks |
| topic | Wireless Sensor Networks task execution algorithms resource management ModelSim |
| url | http://www.mdpi.com/1424-8220/18/3/812 |
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