Name
Abstract | ||
|---|---|---|
Chemical reactors are designed to efficiently produce high-value chemical products but at the same time they also produce low-value by-products. The selectivity of a chemical process refers to the proportion of high-value product produced. A nano sensor network (NSN) monitoring the chemical process at the molecule level could help improving the selectivity by preventing the reactions that lead to low value by-products. Therefore, a central requirement to achieve high selectivity by NSN is reliable communication. A challenge to realising reliable communication within a chemical reactor is its time-varying chemical composition, which in turn creates a time-varying radio channel and noise. The sensor nodes therefore need to adjust their transmission power according to the chemical composition while maintaining a low overall power budget. We show that this problem can be modelled as a Markov Decision Process (MDP). However, the MDP solution requires the sensors to know the composition of the reactor at each time instance, which is prohibitive. We therefore derive off-line time-based policies that these sensors can use. We illustrate our work by using an important chemical process for fuel production and demonstrate the performance of our proposed off-line policies against the optimal MDP policy. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2619955.2619973 | NANOCOM |
Field | DocType | Citations |
Power budget,Power optimization,Chemical products,Computer science,Molecule,Markov decision process,Electronic engineering,Chemical reactor,Wireless sensor network,Nano- | Conference | 4 |
PageRank | References | Authors |
0.62 | 12 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eisa Zarepour | 1 | 21 | 5.09 |
| MAHBUB HASSAN | 2 | 856 | 90.96 |
| Chun Tung Chou | 3 | 4 | 0.62 |
| Adesoji A. Adesina | 4 | 4 | 0.62 |