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| Content Provider | ACM Digital Library |
|---|---|
| Author | Meng, Tong Wu, Fan Chen, Guihai |
| Copyright Year | 2016 |
| Description | Author Affiliation: Shanghai Jiao Tong University, Shanghai, China(Chen, Guihai; Wu, Fan; Meng, Tong) |
| Abstract | In mobile wireless networks, the emerging proximity-based applications have led to the need for highly effective and energy-efficient neighbor discovery protocols. However, existing works cannot realize the optimal worst-case latency in the symmetric case, and their performances with asymmetric duty cycles can still be improved. In this paper, we investigate asynchronous neighbor discovery through a code-based approach, including the symmetric and asymmetric cases. We derive the tight worst-case latency bound in the case of symmetric duty cycle. We design a novel class of symmetric patterns called Diff-Codes, which is optimal when the Diff-Code can be extended from a perfect difference set. We further consider the asymmetric case and design ADiff-Codes. To evaluate (A)Diff-Codes, we conduct both simulations and testbed experiments. Both simulation and experiment results show that (A)Diff-Codes significantly outperform existing neighbor discovery protocols in both the median case and worst case. Specifically, in the symmetric case, the maximum worst-case improvement is up to 50%; in both symmetric and asymmetric cases, the median case gain is as high as 30%. |
| Starting Page | 806 |
| Ending Page | 819 |
| Page Count | 14 |
| File Format | |
| ISSN | 10636692 |
| Volume Number | 24 |
| Issue Number | 2 |
| Journal | IEEE/ACM Transactions on Networking (TON) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-04-01 |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Mobile wireless network Neighbor discovery Protocol design |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Networks and Communications Software Computer Science Applications |
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