{"id":152921,"date":"2006-01-01T00:00:00","date_gmt":"2006-01-01T00:00:00","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/msr-research-item\/estimation-based-erasure-coding-routing-in-delay\/"},"modified":"2018-10-16T20:22:32","modified_gmt":"2018-10-17T03:22:32","slug":"estimation-based-erasure-coding-routing-in-delay","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/estimation-based-erasure-coding-routing-in-delay\/","title":{"rendered":"Estimation based Erasure-coding Routing in Delay"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Wireless Delay Tolerant Networks (DTNs) are intermittently connected mobile wireless networks. Some wellknown assumptions of traditional networks are no longer true in DTNs, which makes routing in DTNs a challenging problem. We observe that mobile nodes in realistic wireless DTNs may always have some mobility pattern information which can be used to estimate one node\u2019s ability to deliver a specific message. This estimation can greatly enhance the routing performance in DTNs. Furthermore, we adopt an alternative way to generate redundancy using erasure coding. With a fixed overhead, the erasure coding can generate a large number of message-blocks instead of a few replications, and therefore it allows the transmission of only a portion of message to a relay. This can greatly increase the routing diversity when combined with estimationbased approaches. We have conducted extensive simulations to evaluate the performance of our scheme. The results demonstrate that our scheme outperforms previously proposed schemes.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Wireless Delay Tolerant Networks (DTNs) are intermittently connected mobile wireless networks. Some wellknown assumptions of traditional networks are no longer true in DTNs, which makes routing in DTNs a challenging problem. We observe that mobile nodes in realistic wireless DTNs may always have some mobility pattern information which can be used to estimate one node\u2019s [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"MSR-TR-2006-05","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"Yong Liao, Zhensheng Zhang, Lixin 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