RT-CaCC: A reliable transport with cache-aware congestion control protocol in wireless sensor networks
College
Gokongwei College of Engineering
Document Type
Article
Source Title
IEEE Transactions on Wireless Communications
Volume
17
Issue
7
First Page
4607
Last Page
4619
Publication Date
7-2018
Abstract
Reliability of data transport in wireless sensor networks is critical in the presence of high packet loss level either due to link contentions or buffer congestions. Mechanisms such as intermediate caching and congestion control can enhance the reliability performance of transport protocols in the event of packet loss. However, these two mechanisms are designed independently for most cache-based transport protocols. In this paper, we developed a new reliable transport protocol with a cache-aware congestion control mechanism called RT-CaCC. RT-CaCC utilizes cache management policies such as cache insertion, cache elimination, and cache size allocation to mitigate packet losses in the network while maximizing cache utilization and bandwidth allocation. The protocol was evaluated in network topologies with different packet loss scenarios. Results showed that RT-CaCC obtained an average of 15%–38% improvement gain compared with baseline protocols. In addition, RT-CaCC consistently outperformed other cache-based transport protocols like distributed TCP caching and end-to-end reliable and congestion aware transport layer protocol in terms of cache utilization, end-to-end delay, and fairness metrics. Finally, the comparison between simulation and analytical results showed that there is an almost perfect match with the difference between curve points never exceeding 14% of the analytical cost.
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Digitial Object Identifier (DOI)
10.1109/TWC.2018.2827986
Recommended Citation
Alipio, M. I., & Tiglao, N. C. (2018). RT-CaCC: A reliable transport with cache-aware congestion control protocol in wireless sensor networks. IEEE Transactions on Wireless Communications, 17 (7), 4607-4619. https://doi.org/10.1109/TWC.2018.2827986
Disciplines
Transportation Engineering
Keywords
Cache memory; Internet of things; Wireless sensor networks
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