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An obstacle-aware human mobility model for ad hoc networks
In this work we present an obstacle-aware human mobility model for ad hoc networks. Typical examples where the nodes of mobile ad hoc networks are human-operated are natural or man-made disasters, military activities or healthcare services. In these scenarios, obstacles are an integral part of the a...
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creator | Papageorgiou, C. Birkos, K. Dagiuklas, T. Kotsopoulos, S. |
description | In this work we present an obstacle-aware human mobility model for ad hoc networks. Typical examples where the nodes of mobile ad hoc networks are human-operated are natural or man-made disasters, military activities or healthcare services. In these scenarios, obstacles are an integral part of the areas where such networks are deployed in order to facilitate communication among the firemen, policemen, medics, soldiers, etc. In the proposed mobility model, the nodes of the network move around the obstacles in a natural and realistic way. A recursive procedure is followed by each node according to which every time an obstacle is encountered between the node's current position and the final destination point, the node moves to the obstacle's vertex that is closest to the destination. This process is repeated until the destination is reached. The obstacles are also taken into account in modeling the signal propagation. When a packet is transmitted through an obstacle, the power at which it is received is attenuated by a certain value representing the physical layer phenomena suffered by the signal. The model is implemented as an add-on module in Network Simulator NS-2. A thorough simulation study conducted highlights the differences of the proposed model with other mobility models, by investigating the properties of the resulting network topologies and their impact on network performance. |
doi_str_mv | 10.1109/MASCOT.2009.5366135 |
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Typical examples where the nodes of mobile ad hoc networks are human-operated are natural or man-made disasters, military activities or healthcare services. In these scenarios, obstacles are an integral part of the areas where such networks are deployed in order to facilitate communication among the firemen, policemen, medics, soldiers, etc. In the proposed mobility model, the nodes of the network move around the obstacles in a natural and realistic way. A recursive procedure is followed by each node according to which every time an obstacle is encountered between the node's current position and the final destination point, the node moves to the obstacle's vertex that is closest to the destination. This process is repeated until the destination is reached. The obstacles are also taken into account in modeling the signal propagation. When a packet is transmitted through an obstacle, the power at which it is received is attenuated by a certain value representing the physical layer phenomena suffered by the signal. The model is implemented as an add-on module in Network Simulator NS-2. 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When a packet is transmitted through an obstacle, the power at which it is received is attenuated by a certain value representing the physical layer phenomena suffered by the signal. The model is implemented as an add-on module in Network Simulator NS-2. A thorough simulation study conducted highlights the differences of the proposed model with other mobility models, by investigating the properties of the resulting network topologies and their impact on network performance.</description><subject>Ad hoc networks</subject><subject>Humans</subject><subject>Medical services</subject><subject>Military communication</subject><subject>Mobile ad hoc networks</subject><subject>Mobile communication</subject><subject>Network topology</subject><subject>Physical layer</subject><subject>Protocols</subject><subject>Testing</subject><issn>1526-7539</issn><issn>2375-0227</issn><isbn>1424449278</isbn><isbn>9781424449279</isbn><isbn>9781424449286</isbn><isbn>1424449286</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1kMtOwzAQRc1LIi39gm78Aykejx3b7KKIAlJRF5R1NXYcNZAHSoKq_j1IlNU90pHO4jK2BLECEO7-NX8rtruVFMKtNGYZoL5gC2csKKmUctJmlyyRaHQqpDRXbPYvjL1mCWiZpUaju2WzcfwQQgrQmLCHvOO9HycKTUzpSEPkh--WOt72vm7q6fQLZWx41Q-cSn7oA-_idOyHz_GO3VTUjHFx3jl7Xz_uiud0s316KfJNGkCJKfWSglMRZKii0wYJvYkYMiRZkVKoy1BqQGtJWo-2IuF98MpAhgKADM7Z8q9bxxj3X0Pd0nDanz_AH9U8S8M</recordid><startdate>200909</startdate><enddate>200909</enddate><creator>Papageorgiou, C.</creator><creator>Birkos, K.</creator><creator>Dagiuklas, T.</creator><creator>Kotsopoulos, S.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200909</creationdate><title>An obstacle-aware human mobility model for ad hoc networks</title><author>Papageorgiou, C. ; Birkos, K. ; Dagiuklas, T. ; Kotsopoulos, S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c140t-b2ac94e12cfe9573a3b7e3c63a2fa4435dcd51388a28b38fa0bbcb47163011a73</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Ad hoc networks</topic><topic>Humans</topic><topic>Medical services</topic><topic>Military communication</topic><topic>Mobile ad hoc networks</topic><topic>Mobile communication</topic><topic>Network topology</topic><topic>Physical layer</topic><topic>Protocols</topic><topic>Testing</topic><toplevel>online_resources</toplevel><creatorcontrib>Papageorgiou, C.</creatorcontrib><creatorcontrib>Birkos, K.</creatorcontrib><creatorcontrib>Dagiuklas, T.</creatorcontrib><creatorcontrib>Kotsopoulos, S.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Papageorgiou, C.</au><au>Birkos, K.</au><au>Dagiuklas, T.</au><au>Kotsopoulos, S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An obstacle-aware human mobility model for ad hoc networks</atitle><btitle>2009 IEEE International Symposium on Modeling, Analysis & Simulation of Computer and Telecommunication Systems</btitle><stitle>MASCOT</stitle><date>2009-09</date><risdate>2009</risdate><spage>1</spage><epage>9</epage><pages>1-9</pages><issn>1526-7539</issn><eissn>2375-0227</eissn><isbn>1424449278</isbn><isbn>9781424449279</isbn><eisbn>9781424449286</eisbn><eisbn>1424449286</eisbn><abstract>In this work we present an obstacle-aware human mobility model for ad hoc networks. Typical examples where the nodes of mobile ad hoc networks are human-operated are natural or man-made disasters, military activities or healthcare services. In these scenarios, obstacles are an integral part of the areas where such networks are deployed in order to facilitate communication among the firemen, policemen, medics, soldiers, etc. In the proposed mobility model, the nodes of the network move around the obstacles in a natural and realistic way. A recursive procedure is followed by each node according to which every time an obstacle is encountered between the node's current position and the final destination point, the node moves to the obstacle's vertex that is closest to the destination. This process is repeated until the destination is reached. The obstacles are also taken into account in modeling the signal propagation. When a packet is transmitted through an obstacle, the power at which it is received is attenuated by a certain value representing the physical layer phenomena suffered by the signal. The model is implemented as an add-on module in Network Simulator NS-2. A thorough simulation study conducted highlights the differences of the proposed model with other mobility models, by investigating the properties of the resulting network topologies and their impact on network performance.</abstract><pub>IEEE</pub><doi>10.1109/MASCOT.2009.5366135</doi><tpages>9</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Ad hoc networks Humans Medical services Military communication Mobile ad hoc networks Mobile communication Network topology Physical layer Protocols Testing |
title | An obstacle-aware human mobility model for ad hoc networks |
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