Name
Abstract | ||
|---|---|---|
A conventional wireless sensor network node consists of a number of components: microprocessor, memory, sensor, and radio. Advances in nanotechnology have enabled the miniaturization of these components, thus enabling wireless nanoscale sensor networks (WNSN). Due to their small size, WNSN nodes are expected to be powered by harvesting energy from the environment. Unfortunately, there is a mismatch in the energy that can be harvested and the energy required to power all the aforementioned components in a WNSN node. In this article, we propose a simplified sensor node architecture for event detection. We call our architecture Sensorless Event MONitoring in self-powered WNSNs (SEMON). A SEMON node consists of only an energy harvester and a radio with minimal processing capacity. We assume that each event to be monitored will generate a different amount of energy, and we can therefore use this amount of energy as the signature of an event. When an event occurs, a SEMON node harvests the energy released by the event and turns it into a radio pulse with an amplitude proportional to the harvested energy. A remote station is used to decode the amplitude of the pulse to recognize the event that has occurred. We propose two methods for the remote station to decode the events that have occurred. The first method is based on thresholds. The second method makes use of an event model that gives the probability that a sequence of events will occur. This enables us to formulate the decoding problem using Hidden Markov Models. We study the decoding performance of both methods. Finally, we provide a case study on using the SEMON architecture to monitor the chemical reactions inside a reactor. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3064838 | TOSN |
Keywords | Field | DocType |
Nanoscale communication,nanoscale wireless sensor networks,wireless communication | Sensor node,Event monitoring,Wireless,Computer science,Microprocessor,Real-time computing,Decoding methods,Miniaturization,Hidden Markov model,Wireless sensor network | Journal |
Volume | Issue | ISSN |
13 | 2 | 1550-4859 |
Citations | PageRank | References |
2 | 0.43 | 21 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eisa Zarepour | 1 | 21 | 5.09 |
| MAHBUB HASSAN | 2 | 856 | 90.96 |
| Chun Tung Chou | 3 | 1197 | 90.98 |
| Adesoji A. Adesina | 4 | 11 | 2.54 |