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Research on Performance Optimization Method of UAV Communication Link in Emergency Communication Environment
Aiming at the problem of long average delay of traditional UAV emergency communication, a performance optimization method of UAV communication link based on emergency communication environment is proposed. The target tasks in the emergency communication channel are divided into different target task...
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Published in: | Security and communication networks 2022-05, Vol.2022, p.1-7 |
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description | Aiming at the problem of long average delay of traditional UAV emergency communication, a performance optimization method of UAV communication link based on emergency communication environment is proposed. The target tasks in the emergency communication channel are divided into different target task groups. According to the distance between the target tasks in the target task group, the symmetric matrix is constructed, all elements in the symmetric matrix are classified, and the classification results are calculated by ant colony algorithm to construct the emergency communication task scheduling model of UAV. Combined with the emergency communication task scheduling model and the demand, priority, time window, and communication ability of UAV emergency scheduling task, the time delay control of UAV emergency communication is realized with the goal of maximizing the efficiency of UAV task execution, maximizing the completion rate of UAV task execution and minimizing the risk of UAV delay. The experimental results show that the average delay of the three methods also increases. When the system load is 50%, the average delay of common methods is 23 ms, the average delay of traditional methods is 76 ms, the average delay of the method proposed in this paper is 26 ms, and the common average delay is the shortest. When the system load is 99%, the common methods cannot realize emergency communication scheduling due to system load overshoot, and the corresponding average delay cannot be considered, indicating that the common methods are unstable. The average delay of the method proposed in this paper is stable under different system loads and always remains below 40 ms. It is proved that compared with the traditional methods, the method proposed in this paper takes less time for UAV emergency communication and has less average delay under different system loads, so it has better application value. |
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The target tasks in the emergency communication channel are divided into different target task groups. According to the distance between the target tasks in the target task group, the symmetric matrix is constructed, all elements in the symmetric matrix are classified, and the classification results are calculated by ant colony algorithm to construct the emergency communication task scheduling model of UAV. Combined with the emergency communication task scheduling model and the demand, priority, time window, and communication ability of UAV emergency scheduling task, the time delay control of UAV emergency communication is realized with the goal of maximizing the efficiency of UAV task execution, maximizing the completion rate of UAV task execution and minimizing the risk of UAV delay. The experimental results show that the average delay of the three methods also increases. When the system load is 50%, the average delay of common methods is 23 ms, the average delay of traditional methods is 76 ms, the average delay of the method proposed in this paper is 26 ms, and the common average delay is the shortest. When the system load is 99%, the common methods cannot realize emergency communication scheduling due to system load overshoot, and the corresponding average delay cannot be considered, indicating that the common methods are unstable. The average delay of the method proposed in this paper is stable under different system loads and always remains below 40 ms. It is proved that compared with the traditional methods, the method proposed in this paper takes less time for UAV emergency communication and has less average delay under different system loads, so it has better application value.</description><identifier>ISSN: 1939-0114</identifier><identifier>EISSN: 1939-0122</identifier><identifier>DOI: 10.1155/2022/5098730</identifier><language>eng</language><publisher>London: Hindawi</publisher><subject>Algorithms ; Ant colony optimization ; Communication channels ; Communications systems ; Disaster relief ; Disasters ; Drones ; Emergencies ; Game theory ; Mathematical analysis ; Matrices (mathematics) ; Maximization ; Optimization ; Performance evaluation ; Scheduling ; Task scheduling ; Time lag ; Unmanned aerial vehicles ; Vehicles ; Windows (intervals) ; Wireless communications ; Wireless networks</subject><ispartof>Security and communication networks, 2022-05, Vol.2022, p.1-7</ispartof><rights>Copyright © 2022 Ju Li and Fengjun Shang.</rights><rights>Copyright © 2022 Ju Li and Fengjun Shang. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-a193d65c9cc17473dcced4396c31d2ba31151db3444fd98642cb5812769c80c93</citedby><cites>FETCH-LOGICAL-c337t-a193d65c9cc17473dcced4396c31d2ba31151db3444fd98642cb5812769c80c93</cites><orcidid>0000-0001-8920-1455 ; 0000-0003-2933-8139</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2671101226?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,25731,27901,27902,36989,44566</link.rule.ids></links><search><contributor>Venkatesan, C.</contributor><contributor>C Venkatesan</contributor><creatorcontrib>Li, Ju</creatorcontrib><creatorcontrib>Shang, Fengjun</creatorcontrib><title>Research on Performance Optimization Method of UAV Communication Link in Emergency Communication Environment</title><title>Security and communication networks</title><description>Aiming at the problem of long average delay of traditional UAV emergency communication, a performance optimization method of UAV communication link based on emergency communication environment is proposed. The target tasks in the emergency communication channel are divided into different target task groups. According to the distance between the target tasks in the target task group, the symmetric matrix is constructed, all elements in the symmetric matrix are classified, and the classification results are calculated by ant colony algorithm to construct the emergency communication task scheduling model of UAV. Combined with the emergency communication task scheduling model and the demand, priority, time window, and communication ability of UAV emergency scheduling task, the time delay control of UAV emergency communication is realized with the goal of maximizing the efficiency of UAV task execution, maximizing the completion rate of UAV task execution and minimizing the risk of UAV delay. The experimental results show that the average delay of the three methods also increases. When the system load is 50%, the average delay of common methods is 23 ms, the average delay of traditional methods is 76 ms, the average delay of the method proposed in this paper is 26 ms, and the common average delay is the shortest. When the system load is 99%, the common methods cannot realize emergency communication scheduling due to system load overshoot, and the corresponding average delay cannot be considered, indicating that the common methods are unstable. The average delay of the method proposed in this paper is stable under different system loads and always remains below 40 ms. It is proved that compared with the traditional methods, the method proposed in this paper takes less time for UAV emergency communication and has less average delay under different system loads, so it has better application value.</description><subject>Algorithms</subject><subject>Ant colony optimization</subject><subject>Communication channels</subject><subject>Communications systems</subject><subject>Disaster relief</subject><subject>Disasters</subject><subject>Drones</subject><subject>Emergencies</subject><subject>Game theory</subject><subject>Mathematical analysis</subject><subject>Matrices (mathematics)</subject><subject>Maximization</subject><subject>Optimization</subject><subject>Performance evaluation</subject><subject>Scheduling</subject><subject>Task scheduling</subject><subject>Time lag</subject><subject>Unmanned aerial vehicles</subject><subject>Vehicles</subject><subject>Windows (intervals)</subject><subject>Wireless communications</subject><subject>Wireless networks</subject><issn>1939-0114</issn><issn>1939-0122</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNp9kMtKAzEUhoMoWKs7HyDgUsfmNpnJspRWhUpFrNshPcnY1E5SM1OlPr1Tprhw4eoc-D_O5UPokpJbStN0wAhjg5SoPOPkCPWo4iohlLHj356KU3RW1ytCJBWZ6KH1s62tjrDEweMnG8sQK-3B4tmmcZX71o1rg0fbLIPBocTz4SseharaegddNnX-HTuPx5WNb9bD7k8-9p8uBl9Z35yjk1Kva3txqH00n4xfRvfJdHb3MBpOE-A8axLdHmtkCgqAZiLjBsAawZUETg1baN4-S82CCyFKo3IpGCzSnLJMKsgJKN5HV93cTQwfW1s3xSpso29XFkxmlO6dyJa66SiIoa6jLYtNdJWOu4KSYu-z2PssDj5b_LrDl84b_eX-p38ASWd1Gg</recordid><startdate>20220519</startdate><enddate>20220519</enddate><creator>Li, Ju</creator><creator>Shang, Fengjun</creator><general>Hindawi</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0001-8920-1455</orcidid><orcidid>https://orcid.org/0000-0003-2933-8139</orcidid></search><sort><creationdate>20220519</creationdate><title>Research on Performance Optimization Method of UAV Communication Link in Emergency Communication Environment</title><author>Li, Ju ; Shang, Fengjun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-a193d65c9cc17473dcced4396c31d2ba31151db3444fd98642cb5812769c80c93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Algorithms</topic><topic>Ant colony optimization</topic><topic>Communication channels</topic><topic>Communications systems</topic><topic>Disaster relief</topic><topic>Disasters</topic><topic>Drones</topic><topic>Emergencies</topic><topic>Game theory</topic><topic>Mathematical analysis</topic><topic>Matrices (mathematics)</topic><topic>Maximization</topic><topic>Optimization</topic><topic>Performance evaluation</topic><topic>Scheduling</topic><topic>Task scheduling</topic><topic>Time lag</topic><topic>Unmanned aerial vehicles</topic><topic>Vehicles</topic><topic>Windows (intervals)</topic><topic>Wireless communications</topic><topic>Wireless networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Ju</creatorcontrib><creatorcontrib>Shang, Fengjun</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Security and communication networks</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Ju</au><au>Shang, Fengjun</au><au>Venkatesan, C.</au><au>C Venkatesan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Research on Performance Optimization Method of UAV Communication Link in Emergency Communication Environment</atitle><jtitle>Security and communication networks</jtitle><date>2022-05-19</date><risdate>2022</risdate><volume>2022</volume><spage>1</spage><epage>7</epage><pages>1-7</pages><issn>1939-0114</issn><eissn>1939-0122</eissn><abstract>Aiming at the problem of long average delay of traditional UAV emergency communication, a performance optimization method of UAV communication link based on emergency communication environment is proposed. The target tasks in the emergency communication channel are divided into different target task groups. According to the distance between the target tasks in the target task group, the symmetric matrix is constructed, all elements in the symmetric matrix are classified, and the classification results are calculated by ant colony algorithm to construct the emergency communication task scheduling model of UAV. Combined with the emergency communication task scheduling model and the demand, priority, time window, and communication ability of UAV emergency scheduling task, the time delay control of UAV emergency communication is realized with the goal of maximizing the efficiency of UAV task execution, maximizing the completion rate of UAV task execution and minimizing the risk of UAV delay. The experimental results show that the average delay of the three methods also increases. When the system load is 50%, the average delay of common methods is 23 ms, the average delay of traditional methods is 76 ms, the average delay of the method proposed in this paper is 26 ms, and the common average delay is the shortest. When the system load is 99%, the common methods cannot realize emergency communication scheduling due to system load overshoot, and the corresponding average delay cannot be considered, indicating that the common methods are unstable. The average delay of the method proposed in this paper is stable under different system loads and always remains below 40 ms. 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subjects | Algorithms Ant colony optimization Communication channels Communications systems Disaster relief Disasters Drones Emergencies Game theory Mathematical analysis Matrices (mathematics) Maximization Optimization Performance evaluation Scheduling Task scheduling Time lag Unmanned aerial vehicles Vehicles Windows (intervals) Wireless communications Wireless networks |
title | Research on Performance Optimization Method of UAV Communication Link in Emergency Communication Environment |
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