Abstract
Transmission Power Control (TPC) protocols are poised for wide spread adoption in wireless sensor networks (wSNs) to address energy constraints. The link quality properties that need to be captured in order to identify the optimum transmission power (TP) have not been clearly defined and previous works have presented conflicting views on the matter. This has led to several current TPC protocols using vastly different link quality properties and reporting unreliable, unstable and inefficient network performance. In this work, observations from several empirical studies on low-power wireless links are applied to identify the most critical properties of link quality for a TPC protocol. Comparing the requirements against currently available link quality estimators, it is shown that link quality estimation in wSNs is still very much an open challenge and one that must be addressed in order to implement an accurate and reliable TPC protocol.
| Original language | English |
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| Title of host publication | 2017 23rd IEEE International Conference on Automation and Computing (ICAC) |
| Editors | Jie Zhang |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Number of pages | 5 |
| ISBN (Electronic) | 9780701702618, 9780701702601 |
| DOIs | |
| Publication status | Published - 26 Oct 2017 |
| Event | 23rd International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing - University of Huddersfield, Huddersfield, United Kingdom Duration: 7 Sep 2017 → 8 Sep 2017 Conference number: 23 https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=41042 (Link to Conference Website) |
Conference
| Conference | 23rd International Conference on Automation and Computing |
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| Abbreviated title | ICAC 2017 |
| Country/Territory | United Kingdom |
| City | Huddersfield |
| Period | 7/09/17 → 8/09/17 |
| Other | The scope of the conference covers a broad spectrum of areas with multi-disciplinary interests in the fields of automation, control engineering, computing and information systems, ranging from fundamental research to real-world applications. |
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