Em direção ao desenho de um módulo social-inspirado para a tomada de decisões dos nós de uma rede Ad Hoc
DOI:
https://doi.org/10.18046/syt.v14i36.2212Palavras-chave:
Rede Ad Hoc, tomada de decisões, recursos, nó.Resumo
Este artigo apresenta o estado da arte preparada em um projeto de pesquisa que propõe a construção de um módulo de software em nós sem fio que possam adquirir a capacidade de decidir sobre o seu ingresso (ou não ingresso) para uma rede ad hoc, e sobre a quantidade de recursos que irão somar à rede, se decidirem ingressar, considerando os dados fornecidos pela rede sobre os recursos disponíveis e o número de nós, e sobre os parâmetros internos, tais como CPU, disco rígido e processador, entre outros, através de um modelo matemático de tomada de decisões. O módulo deve ser capaz de interagir com um intérprete de nível inferior e uma entidade de nível superior equivalente a um sistema distribuído. A pesquisa está enquadrada no Sistema de Cômputo do grupo Tlön da Universidade Nacional de Colômbia, que visa a implementação de um paradigma social-inspirado em redes ad hoc.
Referências
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Bitam, S., Mellouk, A., & Zeadally, S. (2014). Bio-inspired routing algorithms survey for vehicular ad hoc networks. IEEE Communications Survey Tutorials, 17(2), 843-867.
Buchegger, S., & Le Boudec, J. Y. (2005). Self-policing mobile ad hoc networks by reputation systems. IEEE Communications Magazine, 43(7), 101-107.
Chowdhury, F. N. (1993). Decision making with neural networks. In Proceedings of Southeastcon ’93. IEEE.
Dudkowski, D. Marrón, P. J. & Rothermel, K. (2006). An efficient resilience mechanism for data centric storage in mobile ad hoc networks. In Proceedings - IEEE International Conference on Mobile Data Management. IEEE. doi:10.1109/MDM.2006.33
Economides, A. A. & Silvester, J. A. (1991). Multi-objective routing in integrated services networks: A game theory approach. In INFOCOM ’91. Proceedings. Tenth Annual Joint Conference of the IEEE Computer and Communications Societies. Networking in the 90s (pp. 1220-1227). IEEE
Fitzek, F. & Katz, M. (2014). Mobile clouds: Exploiting distributed resources in wireless, mobile and social networks. New Delhi, India: PUB.
Gebali, F. (2009). Cross-Layer Modeling of Wireless Ad Hoc Networks in the Presence of Channel Noise. In Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE.
Hatzivasilis, G. & Manifavas, C. (2012). Building trust in ad hoc distributed resource-sharing networks using reputation-based systems. In Proceedings of the 2012 16th Panhellenic Conference on Informatics, PCI 2012 (pp. 416–421). IEEE.
Johnson., D, Aichele, C., & Ntlatlapa, N. (2008). Simple pragmatic approach to mesh routing using BATMAN. In 2nd IFIP International Symposium on Wireless Communications and Information Technology in Developing Countries, CSIR, Pretoria, South Africa, 6-7 October (p. 10).
Kumar-Sarkar, S., Basavaraju, T., & Puttamadappa, C. (2013). Ad Hoc mobile wireless network: principles, protocols and applications. Boca Raton, FL: CRC.
Lindner, M., Wunderlich, S., & Eckelmann, S. (2011). B.A.T.M.A.N (Better Approach to Mobile Ad-Hoc Network) [online]. Retrieved from: http://www.open-mesh.org
Loo, J., Lloret, J., & Hamilton, J. (2012). Mobile ad hoc networks: current status and future trends. Boca Raton, FL: CRC.
Lu, S., Miao, Q., & Fang, J. (2008). Effects of network topology on decision-making in a biological network model. In First International Conference on Intelligent Networks and Intelligent Systems, 2008. ICINIS ’08 (pp. 197-200).
Luce, R. D. & Raiffa, H. (1989). Games and decisions: Introduction and critical survey. New York, NY: Dover.
Maldonado, C.E. & Gómez, N.A. (2011). Sistemas bio-inspirados: un marco teórico para la ingeniería de sistemas complejos. Bogotá, Colombia: Universidad del Rosario.
Miura-ko, R., Yolken, B., Mitchel, J., & Bambos, N. (2008). Security decision-making among interdependent organizations. In IEEE 21st. Computer Security Foundations Symposium, 2008. CSF ’08 (pp. 66-80). IEEE.
Monk, S. (2013). Raspberry Pi cookbook: Software and hardware problems and solutions. Sebastopol, CA: O’Reilly Media.
Nagel, T. (1973). Rawls on justice. Philosophical Review, 82(2), 220-234.
Ni, J. & Yang, S.X. (2011). Bioinspired neural network for real-time cooperative hunting by multirobots in unknown environments. IEEE Transactions in Neural Networks, 22(12), 2062-2077.
Niswar, M., Sabri, A., Warni, E., Musa, M. (2013). Memory sharing management on virtual private server. In 2013 International Conference on ICT for Smart Society (ICISS). IEEE. doi:10.1109/ICTSS.2013.6588079
Oehlman, F. (2011). Simulation of the ‘Better Approach to Mobile Adhoc Networking Protocol (thesis). Technische Universit¨at Munchen: Germany.
OpenWrt Community (2016). OpenWrt: Wireless Freedom [online]. Retrieved from: . [Accessed: 02-Mar-2016].http://openwrt.org
Orozco, A.M. & Llano, G. (2014). OSA: a vanet application focused on fuel saving and reduction of CO2 emissions. Sistemas & Telemática, 12(9), 25-47.
Orozco, A.M., Llano, G., & Michoud, R. (2012). Redes vehiculares Ad-hoc: aplicaciones basadas en simulación. Ingenium, 6(12), 11-22.
Ortiz-Triviño, J. & Ospina-López, J. P. (2015). Caracterización de un clúster y sus recursos en una red Ad Hoc a partir de la distribución geométrica truncada. Revista Universidad Santo Tomás, 12(1), 68-75.
Ortiz-Triviño, J. E. & Hernández,G. (2011). Cálculo de algunas medidas estadísticas para evaluar el desempeño de redes Ad Hoc. Ingeniería y Competitividad, 8( 1), 15-21.
Raspbian Community (2012). Raspbian [online].Retrieved from: https://www.raspbian.org/
Ray, S., Carruthers, J.B., & Starobinski, D. (2005). Evaluation of the masked node problem in ad hoc wireless LANs. IEEE Transactions in Mobile Computing, 4(5), 430-442.
Rezaei, B.A., Sarshar, N., & Roychowdhury, V. P. (2010). Distributed resource sharing in low-latency wireless ad hoc networks. IEEE/ACM Transactions on Networking, 18(1), 190-201.
Rosen, R. (2014).Linux kernel networking: Implementation and theory. New York, NY: Apress.
Rosenblum, M. (2004). The reincarnation of virtual machines. Queue, 2(5), 34.
Roughgarden, T. (2010). Algorithmic game theory. Commununications of the ACM, 53(7), 78.
Saaty, T. L. (1990). How to make a decision: The analytic hierarchy process. Eur. J. Oper. Res., 48(1), 9-26.
Salehi, M. J., Khalaj, B. H., Katz, M., Fazelnia, G., Karimi, P., & Del Ser, J. (2012). Mobile clouds: How to find opportunities. In 2012 IEEE 17th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) ( pp. 170-172). IEEE.
Stewart and, A. J. & Plotkin, J. B. (2013). From extortion to generosity, evolution in the Iterated Prisoner’s Dilemma. Proceedings of the National Academy of Sciences, 110(38), 15348-15353.
Támara, l.J. & Alzate, M.A. (2011). Control of admission for Ad Hoc mobile network based on estimates available bandwidth. Bogotá, Colombia: PUB.
Texas Instruments [TI] (2016). BeagleBoard [online]. Retrieved from: https://beagleboard.org/black
Thanapal, P. & Saleem-Durai, M.A. (2014). A survey of mobile cloud computing for extending energy of mobile devices. Appl. Mech. Mater., 573, 549-555.
Toh, C. K., Kim, D., Oh, S., & Yoo, H. (2010, February). The controversy of selfish nodes in ad hoc networks. In 2010 The 12th International Conference on Advanced Communication Technology (ICACT), (Vol. 2, pp. 1087-1092). IEEE.
Turocy, T. L. & Von-Stengel, B. (2003). Game theory. In Encyclopedia of Information Systems (pp. 403-420). London, UK: Academic Press.
Tversky, A. & Shafir, E. (1992). Choice under conflict: The dynamics of deferred decision. Psychol. Sci., 3(6), 358-361.
Tversky, A. (1972). Elimination by aspects: A theory of choice. Psychol. Rev., 79(4), 281-299.
Villalba, L.J.G., Canas, D.R., & Orozco, A.L.S. (2010). Bio-inspired routing protocol for mobile ad hoc networks. IET Communications, 4(18), 2187-2195.
Wang, S. H. & Archer, N. PO. (1998). A neural network based fuzzy set model for organizational decision making. IEEE Transactions on Systems, Man, and Cybernetics: Part C (Applications& Reviews), 28(2), 194-203.
Ward, B. (2014). How Linux works: What every superuser should know [2a ed.]. San Francisco, CA: No Starch Press.
Xu, J., Wang, L., Li, Y., Qin, Z., & Zhu, M. (2011). An experimental study of BATMAN performance in a campus deployment of wireless mesh networks. In Proceedings - 2011 7th International Conference on Mobile Ad-hoc and Sensor Networks, MSN 2011 (pp. 341-342). IEEE.
Zadeh, L.A. (1996). Fuzzy logic = computing with words. IEEE Transactions in Fuzzy Systems, 4(2), 103-111.
Zarate-Ceballos, H. & Ortiz-Triviño, J. E. (2012). Mesh networks, communications emergency response. Int. J. Eng. Technol., 2(2), 509-514.
Zarate-Ceballos, H., Sánchez-Cifuentes, J.F., Ospina-López, J.P., & Ortiz-Triviño, J.E. (2015). Sistema de telecomunicaciones social-inspirado mediante comunidades de agentes. In Congreso Internacional de Computación Colombia-México, 2015 (pp. 56-63). Bogotá, Colombia: Fabbecor
Bitam, S., Mellouk, A., & Zeadally, S. (2014). Bio-inspired routing algorithms survey for vehicular ad hoc networks. IEEE Communications Survey Tutorials, 17(2), 843-867.
Buchegger, S., & Le Boudec, J. Y. (2005). Self-policing mobile ad hoc networks by reputation systems. IEEE Communications Magazine, 43(7), 101-107.
Chowdhury, F. N. (1993). Decision making with neural networks. In Proceedings of Southeastcon ’93. IEEE.
Dudkowski, D. Marrón, P. J. & Rothermel, K. (2006). An efficient resilience mechanism for data centric storage in mobile ad hoc networks. In Proceedings - IEEE International Conference on Mobile Data Management. IEEE. doi:10.1109/MDM.2006.33
Economides, A. A. & Silvester, J. A. (1991). Multi-objective routing in integrated services networks: A game theory approach. In INFOCOM ’91. Proceedings. Tenth Annual Joint Conference of the IEEE Computer and Communications Societies. Networking in the 90s (pp. 1220-1227). IEEE
Fitzek, F. & Katz, M. (2014). Mobile clouds: Exploiting distributed resources in wireless, mobile and social networks. New Delhi, India: PUB.
Gebali, F. (2009). Cross-Layer Modeling of Wireless Ad Hoc Networks in the Presence of Channel Noise. In Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE.
Hatzivasilis, G. & Manifavas, C. (2012). Building trust in ad hoc distributed resource-sharing networks using reputation-based systems. In Proceedings of the 2012 16th Panhellenic Conference on Informatics, PCI 2012 (pp. 416–421). IEEE.
Johnson., D, Aichele, C., & Ntlatlapa, N. (2008). Simple pragmatic approach to mesh routing using BATMAN. In 2nd IFIP International Symposium on Wireless Communications and Information Technology in Developing Countries, CSIR, Pretoria, South Africa, 6-7 October (p. 10).
Kumar-Sarkar, S., Basavaraju, T., & Puttamadappa, C. (2013). Ad Hoc mobile wireless network: principles, protocols and applications. Boca Raton, FL: CRC.
Lindner, M., Wunderlich, S., & Eckelmann, S. (2011). B.A.T.M.A.N (Better Approach to Mobile Ad-Hoc Network) [online]. Retrieved from: http://www.open-mesh.org
Loo, J., Lloret, J., & Hamilton, J. (2012). Mobile ad hoc networks: current status and future trends. Boca Raton, FL: CRC.
Lu, S., Miao, Q., & Fang, J. (2008). Effects of network topology on decision-making in a biological network model. In First International Conference on Intelligent Networks and Intelligent Systems, 2008. ICINIS ’08 (pp. 197-200).
Luce, R. D. & Raiffa, H. (1989). Games and decisions: Introduction and critical survey. New York, NY: Dover.
Maldonado, C.E. & Gómez, N.A. (2011). Sistemas bio-inspirados: un marco teórico para la ingeniería de sistemas complejos. Bogotá, Colombia: Universidad del Rosario.
Miura-ko, R., Yolken, B., Mitchel, J., & Bambos, N. (2008). Security decision-making among interdependent organizations. In IEEE 21st. Computer Security Foundations Symposium, 2008. CSF ’08 (pp. 66-80). IEEE.
Monk, S. (2013). Raspberry Pi cookbook: Software and hardware problems and solutions. Sebastopol, CA: O’Reilly Media.
Nagel, T. (1973). Rawls on justice. Philosophical Review, 82(2), 220-234.
Ni, J. & Yang, S.X. (2011). Bioinspired neural network for real-time cooperative hunting by multirobots in unknown environments. IEEE Transactions in Neural Networks, 22(12), 2062-2077.
Niswar, M., Sabri, A., Warni, E., Musa, M. (2013). Memory sharing management on virtual private server. In 2013 International Conference on ICT for Smart Society (ICISS). IEEE. doi:10.1109/ICTSS.2013.6588079
Oehlman, F. (2011). Simulation of the ‘Better Approach to Mobile Adhoc Networking Protocol (thesis). Technische Universit¨at Munchen: Germany.
OpenWrt Community (2016). OpenWrt: Wireless Freedom [online]. Retrieved from: . [Accessed: 02-Mar-2016].http://openwrt.org
Orozco, A.M. & Llano, G. (2014). OSA: a vanet application focused on fuel saving and reduction of CO2 emissions. Sistemas & Telemática, 12(9), 25-47.
Orozco, A.M., Llano, G., & Michoud, R. (2012). Redes vehiculares Ad-hoc: aplicaciones basadas en simulación. Ingenium, 6(12), 11-22.
Ortiz-Triviño, J. & Ospina-López, J. P. (2015). Caracterización de un clúster y sus recursos en una red Ad Hoc a partir de la distribución geométrica truncada. Revista Universidad Santo Tomás, 12(1), 68-75.
Ortiz-Triviño, J. E. & Hernández,G. (2011). Cálculo de algunas medidas estadísticas para evaluar el desempeño de redes Ad Hoc. Ingeniería y Competitividad, 8( 1), 15-21.
Raspbian Community (2012). Raspbian [online].Retrieved from: https://www.raspbian.org/
Ray, S., Carruthers, J.B., & Starobinski, D. (2005). Evaluation of the masked node problem in ad hoc wireless LANs. IEEE Transactions in Mobile Computing, 4(5), 430-442.
Rezaei, B.A., Sarshar, N., & Roychowdhury, V. P. (2010). Distributed resource sharing in low-latency wireless ad hoc networks. IEEE/ACM Transactions on Networking, 18(1), 190-201.
Rosen, R. (2014).Linux kernel networking: Implementation and theory. New York, NY: Apress.
Rosenblum, M. (2004). The reincarnation of virtual machines. Queue, 2(5), 34.
Roughgarden, T. (2010). Algorithmic game theory. Commununications of the ACM, 53(7), 78.
Saaty, T. L. (1990). How to make a decision: The analytic hierarchy process. Eur. J. Oper. Res., 48(1), 9-26.
Salehi, M. J., Khalaj, B. H., Katz, M., Fazelnia, G., Karimi, P., & Del Ser, J. (2012). Mobile clouds: How to find opportunities. In 2012 IEEE 17th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) ( pp. 170-172). IEEE.
Stewart and, A. J. & Plotkin, J. B. (2013). From extortion to generosity, evolution in the Iterated Prisoner’s Dilemma. Proceedings of the National Academy of Sciences, 110(38), 15348-15353.
Támara, l.J. & Alzate, M.A. (2011). Control of admission for Ad Hoc mobile network based on estimates available bandwidth. Bogotá, Colombia: PUB.
Texas Instruments [TI] (2016). BeagleBoard [online]. Retrieved from: https://beagleboard.org/black
Thanapal, P. & Saleem-Durai, M.A. (2014). A survey of mobile cloud computing for extending energy of mobile devices. Appl. Mech. Mater., 573, 549-555.
Toh, C. K., Kim, D., Oh, S., & Yoo, H. (2010, February). The controversy of selfish nodes in ad hoc networks. In 2010 The 12th International Conference on Advanced Communication Technology (ICACT), (Vol. 2, pp. 1087-1092). IEEE.
Turocy, T. L. & Von-Stengel, B. (2003). Game theory. In Encyclopedia of Information Systems (pp. 403-420). London, UK: Academic Press.
Tversky, A. & Shafir, E. (1992). Choice under conflict: The dynamics of deferred decision. Psychol. Sci., 3(6), 358-361.
Tversky, A. (1972). Elimination by aspects: A theory of choice. Psychol. Rev., 79(4), 281-299.
Villalba, L.J.G., Canas, D.R., & Orozco, A.L.S. (2010). Bio-inspired routing protocol for mobile ad hoc networks. IET Communications, 4(18), 2187-2195.
Wang, S. H. & Archer, N. PO. (1998). A neural network based fuzzy set model for organizational decision making. IEEE Transactions on Systems, Man, and Cybernetics: Part C (Applications& Reviews), 28(2), 194-203.
Ward, B. (2014). How Linux works: What every superuser should know [2a ed.]. San Francisco, CA: No Starch Press.
Xu, J., Wang, L., Li, Y., Qin, Z., & Zhu, M. (2011). An experimental study of BATMAN performance in a campus deployment of wireless mesh networks. In Proceedings - 2011 7th International Conference on Mobile Ad-hoc and Sensor Networks, MSN 2011 (pp. 341-342). IEEE.
Zadeh, L.A. (1996). Fuzzy logic = computing with words. IEEE Transactions in Fuzzy Systems, 4(2), 103-111.
Zarate-Ceballos, H. & Ortiz-Triviño, J. E. (2012). Mesh networks, communications emergency response. Int. J. Eng. Technol., 2(2), 509-514.
Zarate-Ceballos, H., Sánchez-Cifuentes, J.F., Ospina-López, J.P., & Ortiz-Triviño, J.E. (2015). Sistema de telecomunicaciones social-inspirado mediante comunidades de agentes. In Congreso Internacional de Computación Colombia-México, 2015 (pp. 56-63). Bogotá, Colombia: Fabbecor
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2016-03-30
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