Abstract
Power limitation is one of the main constraints in sensor networks. Different power-saving strategies are proposed in the literature, but most of them are mainly focusing on power saving rather than maximizing the network lifetime. Moreover, Energy consumption related to reception operations is generally not considered. In this paper, we propose a new power based routing strategy that maximizes the network lifetime. The main idea is to dynamically select routes according to the remaining available power on sensors and the required power for both the transmission and reception operations. The objective is to not focus on minimizing energy consumption, but to fairly distribute power consumption so that the lifetime of the whole sensor network is maximized. The scheme is detailed and modeled. It is a non-linear programming problem that we analyzed by simulations. Numerical results show that the proposed scheme converges to an optimal routing that maximizes the network lifetime. They also demonstrate that energy consumption linked to reception operations has an important effect on the network lifetime.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 3rd International Conference on Mobile Technology, Applications and Systems |
| DOIs | |
| Publication status | Published - 1 Dec 2006 |
| Externally published | Yes |
| Event | 3rd International Conference on Mobile Technology, Applications and Systems - Bangkok, Thailand Duration: 25 Oct 2006 → 27 Oct 2006 |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|---|
| Volume | 270 |
Conference
| Conference | 3rd International Conference on Mobile Technology, Applications and Systems |
|---|---|
| Country/Territory | Thailand |
| City | Bangkok |
| Period | 25/10/06 → 27/10/06 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Energy model
- Network lifetime
- Non-linear programming
- Performance
- Receiver's energy dissipation
- Routing optimization
- Sensor networks
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