Identifying Energy Holes in Randomly Deployed Hierarchical Wireless Sensor Networks
This paper proposes a novel protocol, called an aggregation-based topology learning (ATL) protocol, to identify energy holes in a randomly deployed hierarchical wireless sensor network (HWSN). The approach taken in the protocol design is to learn the routing topology of a tree-structured HWSN in rea...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2017-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8047942/ |