Name
Abstract | ||
|---|---|---|
Synchrony is an important requirement in wireless sensor networks. Biologically inspired synchronization has received significant scientific attention for its simplicity and robustness. This paper presents a self-organized approach based on two established synchronization methods, Phase-Advance and the Reachback Firefly Algorithm, that can be used if the phase and the period length of a node must both be adjusted. By considering nodes with different period lengths, we account for and synchronize nodes with variable delays and clock inaccuracies. We evaluate our modifications through extensive simulations with a realistic model. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-37213-1_39 | ADAPTIVE AND NATURAL COMPUTING ALGORITHMS, ICANNGA 2013 |
Keywords | Field | DocType |
Biologically inspired synchronization,wireless sensor networks | Mathematical optimization,Synchronization,Computer science,Reachback,Real-time computing,Robustness (computer science),Firefly algorithm,Period length,Wireless sensor network,Firefly protocol | Conference |
Volume | ISSN | Citations |
7824 | 0302-9743 | 1 |
PageRank | References | Authors |
0.40 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefan Wieser | 1 | 4 | 1.16 |
| Pier Luca Montessoro | 2 | 39 | 8.31 |
| Mirko Loghi | 3 | 218 | 17.83 |