Abstract
We consider the problem of minimizing the energy needed for data fusion in a large scale sensor network by varying the transmission times assigned to different sensor nodes. The optimal scheduling protocol is derived, based on which, we develop a low-complexity inverse-log scheduling algorithm that achieves near-optimal energy efficiency. To eliminate the communication overhead required by centralized scheduling protocols, we also develop a distributed inverse-log protocol that is applicable to networks with a large number of nodes. Simulations demonstrate that this distributed scheduling protocol achieves substantial energy savings over uniform time division multiple access protocol.
| Original language | English (US) |
|---|---|
| Article number | WC29-3 |
| Pages (from-to) | 2759-2763 |
| Number of pages | 5 |
| Journal | IEEE International Conference on Communications |
| Volume | 4 |
| State | Published - Sep 12 2005 |
| Event | 2005 IEEE International Conference on Communications, ICC 2005 - Seoul, Korea, Republic of Duration: May 16 2005 → May 20 2005 |
Keywords
- Distributed scheduling
- Energy efficiency
- Fading channels
- Sensor networks
- Wireless communications
