Internet of Things: Geographical Routing based on healthcare centers vicinity for mobile smart tourism destination
Tourists with chronic diseases, being afraid of unexpected emergency situation, might be less motivated to travel to remote destinations due to their health concerns, particularly while on the move. Smartphone, sensor devices, cellular communication, and the Internet of Things (IoT) are recent techn...
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Veröffentlicht in: | Technological forecasting & social change 2017-10, Vol.123, p.342-350 |
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description | Tourists with chronic diseases, being afraid of unexpected emergency situation, might be less motivated to travel to remote destinations due to their health concerns, particularly while on the move. Smartphone, sensor devices, cellular communication, and the Internet of Things (IoT) are recent technologies that provide new mobile location based services. Such services could help mobile tourists, i.e. tourist who is currently moving between various sites, to get innovative set of services which make their trip easier and safer. Designing efficient solutions that help tourists with chronic diseases to find an appropriate geographical route from a source to a tourism destination through a transportation network is crucial to healthcare systems. This paper proposes a new approach in generating geographical routes that are best served with close medical centers. Our approach, called Geographical Routing for Mobile Tourist (GRMT), selects a route that is best served with medical centers, and goes through the path that is as shortest as possible in regards with the distance. We have modeled and simulated the proposed approach using simulation program. Simulated experimental results show that GRMT allows tourists to select geographical routes that are served with the highest number of close medical centers although the selected route is slightly longer in distance.
•An IoT architecture connecting a health-worrier tourist to nearby healthcare centers is introduced.•An approach to find a geographical route that is best served with healthcare centers is proposed.•An analytical model for weighing various available geographical routes is presented.•Routes weighing is based on closeness, speciality, and number of nearby healthcare centers.•The efficiency of the proposed approach in overcoming tourists travel constraints was evaluated via simulation. |
doi_str_mv | 10.1016/j.techfore.2017.04.016 |
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•An IoT architecture connecting a health-worrier tourist to nearby healthcare centers is introduced.•An approach to find a geographical route that is best served with healthcare centers is proposed.•An analytical model for weighing various available geographical routes is presented.•Routes weighing is based on closeness, speciality, and number of nearby healthcare centers.•The efficiency of the proposed approach in overcoming tourists travel constraints was evaluated via simulation.</description><identifier>ISSN: 0040-1625</identifier><identifier>EISSN: 1873-5509</identifier><identifier>DOI: 10.1016/j.techfore.2017.04.016</identifier><language>eng</language><publisher>New York: Elsevier Inc</publisher><subject>Cellular communication ; Chronic illnesses ; Communication ; Computer simulation ; Disease ; Electronic devices ; Emergency vehicles ; Geographical Routing ; Health care ; Health care facilities ; Health services ; Healthcare tourism ; Internet ; Internet of Things ; Location based services ; Medicine ; Mobile smart tourism destination ; Smartphones ; Technology adoption ; Telecommunications ; Tourism ; Tourists ; Transportation</subject><ispartof>Technological forecasting & social change, 2017-10, Vol.123, p.342-350</ispartof><rights>2017 Elsevier Inc.</rights><rights>Copyright Elsevier Science Ltd. Oct 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-52e0401afc203728ef433f1f449522ef887cb6733b89a23637d04d397b2939ec3</citedby><cites>FETCH-LOGICAL-c372t-52e0401afc203728ef433f1f449522ef887cb6733b89a23637d04d397b2939ec3</cites><orcidid>0000-0002-8879-9501</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.techfore.2017.04.016$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,33774,45995</link.rule.ids></links><search><creatorcontrib>Almobaideen, Wesam</creatorcontrib><creatorcontrib>Krayshan, Rand</creatorcontrib><creatorcontrib>Allan, Mamoon</creatorcontrib><creatorcontrib>Saadeh, Maha</creatorcontrib><title>Internet of Things: Geographical Routing based on healthcare centers vicinity for mobile smart tourism destination</title><title>Technological forecasting & social change</title><description>Tourists with chronic diseases, being afraid of unexpected emergency situation, might be less motivated to travel to remote destinations due to their health concerns, particularly while on the move. Smartphone, sensor devices, cellular communication, and the Internet of Things (IoT) are recent technologies that provide new mobile location based services. Such services could help mobile tourists, i.e. tourist who is currently moving between various sites, to get innovative set of services which make their trip easier and safer. Designing efficient solutions that help tourists with chronic diseases to find an appropriate geographical route from a source to a tourism destination through a transportation network is crucial to healthcare systems. This paper proposes a new approach in generating geographical routes that are best served with close medical centers. Our approach, called Geographical Routing for Mobile Tourist (GRMT), selects a route that is best served with medical centers, and goes through the path that is as shortest as possible in regards with the distance. We have modeled and simulated the proposed approach using simulation program. Simulated experimental results show that GRMT allows tourists to select geographical routes that are served with the highest number of close medical centers although the selected route is slightly longer in distance.
•An IoT architecture connecting a health-worrier tourist to nearby healthcare centers is introduced.•An approach to find a geographical route that is best served with healthcare centers is proposed.•An analytical model for weighing various available geographical routes is presented.•Routes weighing is based on closeness, speciality, and number of nearby healthcare centers.•The efficiency of the proposed approach in overcoming tourists travel constraints was evaluated via simulation.</description><subject>Cellular communication</subject><subject>Chronic illnesses</subject><subject>Communication</subject><subject>Computer simulation</subject><subject>Disease</subject><subject>Electronic devices</subject><subject>Emergency vehicles</subject><subject>Geographical Routing</subject><subject>Health care</subject><subject>Health care facilities</subject><subject>Health services</subject><subject>Healthcare tourism</subject><subject>Internet</subject><subject>Internet of Things</subject><subject>Location based services</subject><subject>Medicine</subject><subject>Mobile smart tourism destination</subject><subject>Smartphones</subject><subject>Technology adoption</subject><subject>Telecommunications</subject><subject>Tourism</subject><subject>Tourists</subject><subject>Transportation</subject><issn>0040-1625</issn><issn>1873-5509</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>BHHNA</sourceid><recordid>eNqFUF1r2zAUFWOFZVn_whD02d6VZEv2nlZC1wUChZE-C1m-ihUSK5WUQv99FbI99-nC4XzdQ8h3BjUDJn_s64x2ciFizYGpGpq6wJ_IgnVKVG0L_WeyAGigYpK3X8jXlPYAoEQnFySu54xxxkyDo9vJz7v0kz5i2EVzmrw1B_o3nHOB6WASjjTMdEJzyJM1EanFizrRV2_97PMbLS3oMQz-gDQdTcw0h3P06UhHTMXFZB_mb-TGmUPC2393SZ5_P2xXf6rN0-N6db-prFA8Vy3H0pkZZzkUoEPXCOGYa5q-5Rxd1yk7SCXE0PWGCynUCM0oejXwXvRoxZLcXX1PMbycS77elzJzidSslxKU5A0UlryybAwpRXT6FH2p_qYZ6Mu-eq__76sv-2podIGL8NdViOWHV49RJ-txtjj6iDbrMfiPLN4BStCIfg</recordid><startdate>20171001</startdate><enddate>20171001</enddate><creator>Almobaideen, Wesam</creator><creator>Krayshan, Rand</creator><creator>Allan, Mamoon</creator><creator>Saadeh, Maha</creator><general>Elsevier Inc</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>7U4</scope><scope>8FD</scope><scope>BHHNA</scope><scope>DWI</scope><scope>F28</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>WZK</scope><orcidid>https://orcid.org/0000-0002-8879-9501</orcidid></search><sort><creationdate>20171001</creationdate><title>Internet of Things: Geographical Routing based on healthcare centers vicinity for mobile smart tourism destination</title><author>Almobaideen, Wesam ; Krayshan, Rand ; Allan, Mamoon ; Saadeh, Maha</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-52e0401afc203728ef433f1f449522ef887cb6733b89a23637d04d397b2939ec3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Cellular communication</topic><topic>Chronic illnesses</topic><topic>Communication</topic><topic>Computer simulation</topic><topic>Disease</topic><topic>Electronic devices</topic><topic>Emergency vehicles</topic><topic>Geographical Routing</topic><topic>Health care</topic><topic>Health care facilities</topic><topic>Health services</topic><topic>Healthcare tourism</topic><topic>Internet</topic><topic>Internet of Things</topic><topic>Location based services</topic><topic>Medicine</topic><topic>Mobile smart tourism destination</topic><topic>Smartphones</topic><topic>Technology adoption</topic><topic>Telecommunications</topic><topic>Tourism</topic><topic>Tourists</topic><topic>Transportation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Almobaideen, Wesam</creatorcontrib><creatorcontrib>Krayshan, Rand</creatorcontrib><creatorcontrib>Allan, Mamoon</creatorcontrib><creatorcontrib>Saadeh, Maha</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Sociological Abstracts (pre-2017)</collection><collection>Technology Research Database</collection><collection>Sociological Abstracts</collection><collection>Sociological Abstracts</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Sociological Abstracts (Ovid)</collection><jtitle>Technological forecasting & social change</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Almobaideen, Wesam</au><au>Krayshan, Rand</au><au>Allan, Mamoon</au><au>Saadeh, Maha</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Internet of Things: Geographical Routing based on healthcare centers vicinity for mobile smart tourism destination</atitle><jtitle>Technological forecasting & social change</jtitle><date>2017-10-01</date><risdate>2017</risdate><volume>123</volume><spage>342</spage><epage>350</epage><pages>342-350</pages><issn>0040-1625</issn><eissn>1873-5509</eissn><abstract>Tourists with chronic diseases, being afraid of unexpected emergency situation, might be less motivated to travel to remote destinations due to their health concerns, particularly while on the move. Smartphone, sensor devices, cellular communication, and the Internet of Things (IoT) are recent technologies that provide new mobile location based services. Such services could help mobile tourists, i.e. tourist who is currently moving between various sites, to get innovative set of services which make their trip easier and safer. Designing efficient solutions that help tourists with chronic diseases to find an appropriate geographical route from a source to a tourism destination through a transportation network is crucial to healthcare systems. This paper proposes a new approach in generating geographical routes that are best served with close medical centers. Our approach, called Geographical Routing for Mobile Tourist (GRMT), selects a route that is best served with medical centers, and goes through the path that is as shortest as possible in regards with the distance. We have modeled and simulated the proposed approach using simulation program. Simulated experimental results show that GRMT allows tourists to select geographical routes that are served with the highest number of close medical centers although the selected route is slightly longer in distance.
•An IoT architecture connecting a health-worrier tourist to nearby healthcare centers is introduced.•An approach to find a geographical route that is best served with healthcare centers is proposed.•An analytical model for weighing various available geographical routes is presented.•Routes weighing is based on closeness, speciality, and number of nearby healthcare centers.•The efficiency of the proposed approach in overcoming tourists travel constraints was evaluated via simulation.</abstract><cop>New York</cop><pub>Elsevier Inc</pub><doi>10.1016/j.techfore.2017.04.016</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-8879-9501</orcidid></addata></record> |
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subjects | Cellular communication Chronic illnesses Communication Computer simulation Disease Electronic devices Emergency vehicles Geographical Routing Health care Health care facilities Health services Healthcare tourism Internet Internet of Things Location based services Medicine Mobile smart tourism destination Smartphones Technology adoption Telecommunications Tourism Tourists Transportation |
title | Internet of Things: Geographical Routing based on healthcare centers vicinity for mobile smart tourism destination |
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