Abstract
In the design of wireless networks, techniques for improving energy efficiency and extending network lifetime have great importance, particularly for defense and civil/rescue applications where resupplying transmitters with new batteries is not feasible. In this paper we study a method for improving the lifetime of wireless networks by minimizing the length of the longest edge in the interconnecting tree by deploying additional relay nodes at specific locations. This optimization problem, known as the Bottleneck Steiner Tree Problem (BSTP), asks to find a Steiner tree for n terminals with at most k Steiner points such that the length of the longest edge in the tree is minimized. We present a ratio- √3+ε polynomial time approximation algorithm for BSTP, where ε is an arbitrary positive number.
| Original language | English |
|---|---|
| Pages (from-to) | 391-399 |
| Journal | Journal of Global Optimization |
| Volume | 36 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Nov 2006 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Research Keywords
- Approximation algorithms
- Bottleneck Steiner tree
- Power efficient
- Steiner tree
- Wireless networks
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