A Comparison of Alternative Distributed Dynamic Cluster Formation Techniques for Industrial Wireless Sensor Networks
In this paper, we investigate alternative distributed clustering techniques for wireless sensor node tracking in an industrial environment. The research builds on extant work on wireless sensor node clustering by reporting on: (1) the development of a novel distributed management approach for tracki...
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-01-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/16/1/65 |
| _version_ | 1811305376237223936 |
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| author | Mohammad Gholami Robert W. Brennan |
| author_facet | Mohammad Gholami Robert W. Brennan |
| author_sort | Mohammad Gholami |
| collection | DOAJ |
| description | In this paper, we investigate alternative distributed clustering techniques for wireless sensor node tracking in an industrial environment. The research builds on extant work on wireless sensor node clustering by reporting on: (1) the development of a novel distributed management approach for tracking mobile nodes in an industrial wireless sensor network; and (2) an objective comparison of alternative cluster management approaches for wireless sensor networks. To perform this comparison, we focus on two main clustering approaches proposed in the literature: pre-defined clusters and ad hoc clusters. These approaches are compared in the context of their reconfigurability: more specifically, we investigate the trade-off between the cost and the effectiveness of competing strategies aimed at adapting to changes in the sensing environment. To support this work, we introduce three new metrics: a cost/efficiency measure, a performance measure, and a resource consumption measure. The results of our experiments show that ad hoc clusters adapt more readily to changes in the sensing environment, but this higher level of adaptability is at the cost of overall efficiency. |
| first_indexed | 2024-04-13T08:24:16Z |
| format | Article |
| id | doaj.art-1dcdfc5c3d95469dbc7ef94338beda85 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T08:24:16Z |
| publishDate | 2016-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-1dcdfc5c3d95469dbc7ef94338beda852022-12-22T02:54:31ZengMDPI AGSensors1424-82202016-01-011616510.3390/s16010065s16010065A Comparison of Alternative Distributed Dynamic Cluster Formation Techniques for Industrial Wireless Sensor NetworksMohammad Gholami0Robert W. Brennan1Department of Mechanical and Manufacturing Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB T2N 1N4, CanadaDepartment of Mechanical and Manufacturing Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB T2N 1N4, CanadaIn this paper, we investigate alternative distributed clustering techniques for wireless sensor node tracking in an industrial environment. The research builds on extant work on wireless sensor node clustering by reporting on: (1) the development of a novel distributed management approach for tracking mobile nodes in an industrial wireless sensor network; and (2) an objective comparison of alternative cluster management approaches for wireless sensor networks. To perform this comparison, we focus on two main clustering approaches proposed in the literature: pre-defined clusters and ad hoc clusters. These approaches are compared in the context of their reconfigurability: more specifically, we investigate the trade-off between the cost and the effectiveness of competing strategies aimed at adapting to changes in the sensing environment. To support this work, we introduce three new metrics: a cost/efficiency measure, a performance measure, and a resource consumption measure. The results of our experiments show that ad hoc clusters adapt more readily to changes in the sensing environment, but this higher level of adaptability is at the cost of overall efficiency.http://www.mdpi.com/1424-8220/16/1/65wireless sensor networksclusteringdistributed adaptive systemsreconfigurability |
| spellingShingle | Mohammad Gholami Robert W. Brennan A Comparison of Alternative Distributed Dynamic Cluster Formation Techniques for Industrial Wireless Sensor Networks Sensors wireless sensor networks clustering distributed adaptive systems reconfigurability |
| title | A Comparison of Alternative Distributed Dynamic Cluster Formation Techniques for Industrial Wireless Sensor Networks |
| title_full | A Comparison of Alternative Distributed Dynamic Cluster Formation Techniques for Industrial Wireless Sensor Networks |
| title_fullStr | A Comparison of Alternative Distributed Dynamic Cluster Formation Techniques for Industrial Wireless Sensor Networks |
| title_full_unstemmed | A Comparison of Alternative Distributed Dynamic Cluster Formation Techniques for Industrial Wireless Sensor Networks |
| title_short | A Comparison of Alternative Distributed Dynamic Cluster Formation Techniques for Industrial Wireless Sensor Networks |
| title_sort | comparison of alternative distributed dynamic cluster formation techniques for industrial wireless sensor networks |
| topic | wireless sensor networks clustering distributed adaptive systems reconfigurability |
| url | http://www.mdpi.com/1424-8220/16/1/65 |
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