Ad Hoc Network for Disaster Scenario
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Published:
Aug 30, 2019
Keywords:
Ad Hoc Network Wireless Sensor Network Hybrid Network Disaster Scenario Disaster
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Abstract
This paper presents a survey on ad hoc network for disaster scenario. This research surveyed the five areas of research fields, connection models, communication techniques, mobility models, routing protocols and efficient routing protocol which these fields are relevant to each other. A study of the Ad hoc network in disaster scenario was used to improve an ad hoc network in disaster situation so that communication devices or nodes in the network could communicate, transmit information search and rescue for more effectiveness and better chance of survivors in disasters.
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How to Cite
[1]
ชุติมารังสรรค์ ณ. and ชุติมารังสรรค์ ว., “Ad Hoc Network for Disaster Scenario”, RMUTI Journal, vol. 12, no. 2, pp. 149–171, Aug. 2019.
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Academic article
References
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10.1016/j.proenv.2011.09.096
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[9] Rodríguez-Covili, J., Ochoa, S. F., and Pino, J. A. (2012). High Level MANET Protocol: Enhancing the Communication Support for Mobile Collaborative Work. Journal of Network
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[10] Ray, N. K. and Turuk, A. K. (2011). A Framework for Disaster Management Using Wireless Ad Hoc Networks. In Proceeding ICCCS ‘11 Proceedings of the 2011 International Conference on Communication, Computing & Security. Rourkela, Odisha, India - February 12 - 14, 2011. pp. 138-141. DOI: 10.1145/1947940.1947970
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DOI: 10.1016/j.adhoc.2016.11.001
[12] Saha, S., Nandi, S., Paul, P. S., Shah, V. K., Roy, A., and Das, S. K. (2015). Designing Delay Constrained Hybrid Ad Hoc Network Infrastructure for Post-Disaster Communication. Ad Hoc Networks. Vol. 25, pp. 406-429
[13] Jayakumar, G. and Gopinath, G. (2007). Ad Hoc Mobile Wireless Networks Routing Protocols-A Review. Journal of Computer Science. Vol. 3, Issue 8, pp. 574-582. DOI: 10.3844/
jcssp.2007.574.582
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[15] Quispe, L. E. and Galan, L. M. (2014). Behavior of Ad Hoc Routing Protocols, Analyzed for Emergency and Rescue Scenarios, on a Real Urban Area. Expert Systems with Applications. Vol. 41, Issue 5, pp. 2565-2573. DOI: 10.1016/j.eswa.2013.10.004
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Solutions in Embedded Systems, 2012. pp. 88-92
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[18] Perkins, C. E. and Bhagwat, P. (1994). Highly Dynamic Destination-Sequenced Distance-Vector Routing (DSDV) for Mobile Computers. In SIGCOMM ‘94 Proceedings of the Conference on Communications Architectures, Protocols and Applications. Vol. 24, Issue 4, pp. 234-244. DOI: 10.1145/190314.190336
[19] Baraković, S. and Baraković, J. (2010). Comparative Performance Evaluation of Mobile Ad Hoc Routing Protocols. In MIPRO, 2010 Proceedings of the 33rd International Convention. pp. 518-523
[20] Vijayavani, G. R. and Prema, G. (2012). Performance Comparison of MANET Routing Protocols with Mobility Model Derived Based on Realistic Mobility Pattern of Mobile Nodes.
IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT), 2012. pp. 32-36
[21] Kuperman, G., Veytser, L., Cheng, B. N., Moore, S., and Narula-Tam, A. (2014). A Comparison of OLSR and OSPF-MDR for Large-Scale Airborne Mobile Ad-Hoc Networks. In Proceedings of the third ACM Workshop on Airborne Networks and Communications. pp. 17-22
[22] Mohapatra, S. and Kanungo, P. (2012). Performance Analysis of AODV, DSR, OLSR and DSDV Routing Protocols Using NS2 Simulator. Procedia Engineering. Vol. 30, pp. 69-76.
DOI: 10.1016/j.proeng.2012.01.835
[23] Perkins, C. E. and E. M. Royer. (1999). Ad-hoc On-Demand Distance Vector Routing. Proceedings WMCSA’99. Second IEEE Workshop on Mobile Computing Systems and Applications. DOI: DOI: 10.1109/MCSA.1999.749281
[24] Kasirama, R., RajKumar, G., Asokan, J., and Parthiban, D. (2012). Performance Analysis of DSR and DSDV in Motion and Motionless State. Procedia Engineering. Vol. 38, pp. 1518-1523. DOI: 10.1016/j.proeng.2012.06.187
[25] Marina, M. K. and Das, S. R. (2001). On-demand Multipath Distance Vector Routing in Ad Hoc Networks. Proceedings Ninth International Conference on Network Protocols. ICNP 2001. pp. 14-23. DOI:10.1109/ICNP.2001.992756
[26] Chaba, Y., Singh, Y., and Joon, M. (2009). Performance Evaluation and Analysis of Cluster Based Routing Protocols in MANETs. In 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies. pp. 64-66. DOI:10.1109/act.2009.26
[27] Aschenbruck, N., Gerhards-Padilla, E., and Martini, P. (2009). Modeling Mobility in Disaster Area Scenarios. Performance Evaluation. Vol. 66, Issue 12, pp. 773-790. DOI: 10.1016/j.peva.2009.07.009
[28] Akhtar Khan, N., Ahmad, F., and Khan, S. A. (2014). Formal and Executable Specification of Random Waypoint Mobility Model Using Timed Coloured Petri Nets for WMN. Abstract and Applied Analysis. Vol. 2014, Hindawi Publishing Corporation. DOI: 10.1155/2014/798927
[29] MartíN-Campillo, A., Crowcroft, J., Yoneki, E., and Martí, R. (2013). Evaluating Opportunistic Networks in Disaster Scenarios. Journal of Network and Computer Applications. Vol. 36, Issue 2, pp. 870-880. DOI: 10.1016/j.jnca.2012.11.001
[30] Meghanathan, N. (2011). A Location Prediction Based Routing Protocol and Its Extensions for Multicast and Multi-path Routing in Mobile Ad Hoc Networks. Ad Hoc Networks. Vol. 9, Issue 7, pp. 1104-1126. DOI: 10.1016/j.adhoc.2010.12.005
[31] Reina, D. G., Toral, S. L., and Tawfi k, H. (2016). UAVs Deployment in Disaster Scenarios Based on Global and Local Search Optimization Algorithms. In 9th International Conference on Developments in eSystems Engineering, DeSE 2016. pp. 197-202
[32] Tuna, G., Gungor, V. C., and Gulez, K. (2014). An Autonomous Wireless Sensor Network Deployment System Using Mobile Robots for Human Existence Detection in Case of Disasters. Ad Hoc Networks. Vol. 13, pp. 54-68. DOI: 10.1016/j.adhoc.2012.06.006
[33] Lu, Z., Cao, G., and La Porta, T. (2017). TeamPhone: Networking Smartphones for Disaster Recovery. IEEE Transactions on Mobile Computing. Vol. 16, Issue 12, pp. 3554-3567. DOI: 10.1109/TMC.2017.2695452
[2] Manfredi, V., Crovella, M., and Kurose, J. (2011). Understanding Stateful vs Stateless Communication Strategies for Ad Hoc Networks. In Proceeding MobiCom ‘11 Proceedings
of the 17th Annual International Conference on Mobile Computing and Networking. Las Vegas, Nevada, USA-September 19 - 23, 2011. pp. 313-324. DOI: 10.1145/2030613.2030649
[3] Garnepudi, P., Damarla, T., Gaddipati, J., and Veeraiah, D. (2013). Proactive, Reactive and Hybrid Multicast Routing Protocols for Wireless Mesh Networks. In 2013 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). pp. 1-7. DOI: 10.1109/ICCIC.2013.6724255
[4] Ahmad, N., Riaz, N., and Hussain, M. (2011). Ad Hoc Wireless Sensor Network Architecture for Disaster Survivor Detection. International Journal of Advanced Science and Technology. Vol. 34, No. 9, pp. 9-16
[5] Xu, D. and Gao, J. (2011). Comparison Study to Hierarchical Routing Protocols in Wireless Sensor Networks. Procedia Environmental Sciences. Vol. 10, Part A, pp. 595-600. DOI:
10.1016/j.proenv.2011.09.096
[6] Dehnavi, M., Mazaheri, M. R., Homayounfar, B., and Mazinani, S. M. (2012). Energy Efficient and QoS Based Multi-Path Hierarchical Routing Protocol in WSNs. In Proceeding IS3C ‘12 Proceedings of the 2012 International Symposium on Computer, Consumer and Control. June 04 - 06, 2012. pp. 414-418. DOI: 10.1109/IS3C.2012.111
[7] Kuila, P. and Jana, P. K. (2014). A Novel Differential Evolution Based Clustering Algorithm for Wireless Sensor Networks. Applied Soft Computing. Vol. 25, pp. 414-425. DOI: 10.1016/j.asoc.2014.08.064
[8] Narayanan, R. G. L. and Ibe, O. C. (2012). A Joint Network for Disaster Recovery and Search and Rescue Operations. Journal Computer Networks: The International Journal of Computer and Telecommunications Networking. Vol. 56, Issue 14, pp. 3347-3373. DOI: 10.1016/j.comnet.2012.05.012
[9] Rodríguez-Covili, J., Ochoa, S. F., and Pino, J. A. (2012). High Level MANET Protocol: Enhancing the Communication Support for Mobile Collaborative Work. Journal of Network
and Computer Applications. Vol 35, Issue 1, pp. 145-155. DOI: 10.1016/j.jnca.2011.02.006
[10] Ray, N. K. and Turuk, A. K. (2011). A Framework for Disaster Management Using Wireless Ad Hoc Networks. In Proceeding ICCCS ‘11 Proceedings of the 2011 International Conference on Communication, Computing & Security. Rourkela, Odisha, India - February 12 - 14, 2011. pp. 138-141. DOI: 10.1145/1947940.1947970
[11] Qiu, T., Chen, N., Li, K., Qiao, D., and Fu, Z. (2017). Heterogeneous Ad Hoc Networks: Architectures, Advances and Challenges. Ad Hoc Networks. Vol. 55, Issue C, pp. 143-152.
DOI: 10.1016/j.adhoc.2016.11.001
[12] Saha, S., Nandi, S., Paul, P. S., Shah, V. K., Roy, A., and Das, S. K. (2015). Designing Delay Constrained Hybrid Ad Hoc Network Infrastructure for Post-Disaster Communication. Ad Hoc Networks. Vol. 25, pp. 406-429
[13] Jayakumar, G. and Gopinath, G. (2007). Ad Hoc Mobile Wireless Networks Routing Protocols-A Review. Journal of Computer Science. Vol. 3, Issue 8, pp. 574-582. DOI: 10.3844/
jcssp.2007.574.582
[14] Xiang, M. (2012). Analysis on Multicast Routing Protocols for Mobile Ad Hoc Networks. Physics Procedia. Vol. 25, pp. 1787-1793. DOI: 10.1016/j.phpro.2012.03.312
[15] Quispe, L. E. and Galan, L. M. (2014). Behavior of Ad Hoc Routing Protocols, Analyzed for Emergency and Rescue Scenarios, on a Real Urban Area. Expert Systems with Applications. Vol. 41, Issue 5, pp. 2565-2573. DOI: 10.1016/j.eswa.2013.10.004
[16] Raffelsberger, C. and Hellwagner, H. (2012). Evaluation of MANET Routing Protocols in a Realistic Emergency Response Scenario. 10th International Workshop on Intelligent
Solutions in Embedded Systems, 2012. pp. 88-92
[17] Reina, D. G., Toral, S. L., Barrero, F., Bessis, N., and Asimakopoulou, E. (2011). Evaluation of Ad Hoc Networks in Disaster Scenarios. 2011 Third International Conference on Intelligent Networking and Collaborative Systems. pp. 759-764. DOI:10.1109/incos.2011.86
[18] Perkins, C. E. and Bhagwat, P. (1994). Highly Dynamic Destination-Sequenced Distance-Vector Routing (DSDV) for Mobile Computers. In SIGCOMM ‘94 Proceedings of the Conference on Communications Architectures, Protocols and Applications. Vol. 24, Issue 4, pp. 234-244. DOI: 10.1145/190314.190336
[19] Baraković, S. and Baraković, J. (2010). Comparative Performance Evaluation of Mobile Ad Hoc Routing Protocols. In MIPRO, 2010 Proceedings of the 33rd International Convention. pp. 518-523
[20] Vijayavani, G. R. and Prema, G. (2012). Performance Comparison of MANET Routing Protocols with Mobility Model Derived Based on Realistic Mobility Pattern of Mobile Nodes.
IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT), 2012. pp. 32-36
[21] Kuperman, G., Veytser, L., Cheng, B. N., Moore, S., and Narula-Tam, A. (2014). A Comparison of OLSR and OSPF-MDR for Large-Scale Airborne Mobile Ad-Hoc Networks. In Proceedings of the third ACM Workshop on Airborne Networks and Communications. pp. 17-22
[22] Mohapatra, S. and Kanungo, P. (2012). Performance Analysis of AODV, DSR, OLSR and DSDV Routing Protocols Using NS2 Simulator. Procedia Engineering. Vol. 30, pp. 69-76.
DOI: 10.1016/j.proeng.2012.01.835
[23] Perkins, C. E. and E. M. Royer. (1999). Ad-hoc On-Demand Distance Vector Routing. Proceedings WMCSA’99. Second IEEE Workshop on Mobile Computing Systems and Applications. DOI: DOI: 10.1109/MCSA.1999.749281
[24] Kasirama, R., RajKumar, G., Asokan, J., and Parthiban, D. (2012). Performance Analysis of DSR and DSDV in Motion and Motionless State. Procedia Engineering. Vol. 38, pp. 1518-1523. DOI: 10.1016/j.proeng.2012.06.187
[25] Marina, M. K. and Das, S. R. (2001). On-demand Multipath Distance Vector Routing in Ad Hoc Networks. Proceedings Ninth International Conference on Network Protocols. ICNP 2001. pp. 14-23. DOI:10.1109/ICNP.2001.992756
[26] Chaba, Y., Singh, Y., and Joon, M. (2009). Performance Evaluation and Analysis of Cluster Based Routing Protocols in MANETs. In 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies. pp. 64-66. DOI:10.1109/act.2009.26
[27] Aschenbruck, N., Gerhards-Padilla, E., and Martini, P. (2009). Modeling Mobility in Disaster Area Scenarios. Performance Evaluation. Vol. 66, Issue 12, pp. 773-790. DOI: 10.1016/j.peva.2009.07.009
[28] Akhtar Khan, N., Ahmad, F., and Khan, S. A. (2014). Formal and Executable Specification of Random Waypoint Mobility Model Using Timed Coloured Petri Nets for WMN. Abstract and Applied Analysis. Vol. 2014, Hindawi Publishing Corporation. DOI: 10.1155/2014/798927
[29] MartíN-Campillo, A., Crowcroft, J., Yoneki, E., and Martí, R. (2013). Evaluating Opportunistic Networks in Disaster Scenarios. Journal of Network and Computer Applications. Vol. 36, Issue 2, pp. 870-880. DOI: 10.1016/j.jnca.2012.11.001
[30] Meghanathan, N. (2011). A Location Prediction Based Routing Protocol and Its Extensions for Multicast and Multi-path Routing in Mobile Ad Hoc Networks. Ad Hoc Networks. Vol. 9, Issue 7, pp. 1104-1126. DOI: 10.1016/j.adhoc.2010.12.005
[31] Reina, D. G., Toral, S. L., and Tawfi k, H. (2016). UAVs Deployment in Disaster Scenarios Based on Global and Local Search Optimization Algorithms. In 9th International Conference on Developments in eSystems Engineering, DeSE 2016. pp. 197-202
[32] Tuna, G., Gungor, V. C., and Gulez, K. (2014). An Autonomous Wireless Sensor Network Deployment System Using Mobile Robots for Human Existence Detection in Case of Disasters. Ad Hoc Networks. Vol. 13, pp. 54-68. DOI: 10.1016/j.adhoc.2012.06.006
[33] Lu, Z., Cao, G., and La Porta, T. (2017). TeamPhone: Networking Smartphones for Disaster Recovery. IEEE Transactions on Mobile Computing. Vol. 16, Issue 12, pp. 3554-3567. DOI: 10.1109/TMC.2017.2695452