Abstract
The research is centered on sensor networks with two types of nodes. The low end nodes are simple and low cost, while the high end nodes are costly but provide significantly more processing power. In this type of sensor networks, the low end nodes are clustered and report to a high end node, which is turn uses a network backbone to send data to a base station. In this research we have configured a new data routing procedure potentially improves the energy efficiency of the network by reducing the number of hops utilized to reach to the Base Station. We gain robustness and energy efficiency by reducing the vulnerability points in the network by employing alternatives to Shortest Path Tree routing. The new data routing procedure is compared with the Directed Diffusion algorithm.
| Original language | English |
|---|---|
| Title of host publication | Computation World |
| Subtitle of host publication | Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns, ComputationWorld 2009 |
| Pages | 569-574 |
| Number of pages | 6 |
| DOIs | |
| State | Published - 2009 |
| Event | Computation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns, ComputationWorld 2009 - Athens, Greece Duration: 15 Nov 2009 → 20 Nov 2009 |
Publication series
| Name | Computation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns, ComputationWorld 2009 |
|---|
Conference
| Conference | Computation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns, ComputationWorld 2009 |
|---|---|
| Country/Territory | Greece |
| City | Athens |
| Period | 15/11/09 → 20/11/09 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Base station
- Heterogeneous sensor networks
- Hierarchical routing
- Security
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