{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,11]],"date-time":"2024-06-11T11:19:02Z","timestamp":1718104742226},"reference-count":32,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2017,10,9]],"date-time":"2017-10-09T00:00:00Z","timestamp":1507507200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"The RPL (Routing Protocol for LLN) protocol is a routing protocol for low power and lossy networks. In such a network, energy is a very scarce resource, so many studies are focused on minimizing global energy consumption. End-to-end latency is another important performance indicator of the network, but existing research tends to focus more on energy consumption and ignore the end-to-end delay of data transmission. In this paper, we propose a kind of energy equalization routing protocol to maximize the surviving time of the restricted nodes so that the energy consumed by each node is close to each other. At the same time, a multi-path forwarding route is proposed based on the cache utilization. The data is sent to the sink node through different parent nodes at a certain probability, not only by selecting the preferred parent node, thus avoiding buffer overflow and reducing end-to-end delay. Finally, the two algorithms are combined to accommodate different application scenarios. The experimental results show that the proposed three improved schemes improve the reliability of the routing, extend the lifetime of the network, reduce the end-to-end delay, and reduce the number of DAG reconfigurations.<\/jats:p>","DOI":"10.3390\/info8040124","type":"journal-article","created":{"date-parts":[[2017,10,9]],"date-time":"2017-10-09T15:25:35Z","timestamp":1507562735000},"page":"124","source":"Crossref","is-referenced-by-count":8,"title":["Multi-Path Data Distribution Mechanism Based on RPL for Energy Consumption and Time Delay"],"prefix":"10.3390","volume":"8","author":[{"given":"Licai","family":"Zhu","sequence":"first","affiliation":[{"name":"School of Information Engineering, Yancheng Teachers University, Yancheng 224002, China"},{"name":"School of Computer Science & Technology, Nanjing University of Posts and Telecommunications, Nanjing 210042, China"}]},{"given":"Ruchuan","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science & Technology, Nanjing University of Posts and Telecommunications, Nanjing 210042, China"}]},{"given":"Hao","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Yancheng Teachers University, Yancheng 224002, China"}]}],"member":"1968","published-online":{"date-parts":[[2017,10,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1007\/s12652-012-0129-8","article-title":"Smart home technology for telemedicine and emergency management","volume":"4","author":"Li","year":"2012","journal-title":"J. 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