Survey on Cooperation Incentive Mechanisms in MANETs

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Abstract:

A lack of centralized administrator has made communications in mobile ad hoc networks relied on cooperation of mobile nodes. Apparently, their limited energy cannot provide a sustained supply for consumption on operations, such as relaying, forwarding, etc. This may cause the self-ish behaviors of non-cooperative nodes, resulting in degradation on the stability or reliability of routing. The self-ishness worsens because of node mobility. Most existing works were considering external profits and inner motivations. In this paper, we analyzed three kinds of incentive mechanisms based on virtual currency, reputation and game theory, respectively. We compared application scenarios and performance of these mechanisms, and discussed their limitations. Finally we proposed possible directions for the future research on the incentive mechanisms in mobile ad hoc networks.

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1811-1818

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February 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] H. Bakht. Survey of Routing Protocols for Mobile Ad-hoc Network [J]. International Journal of Information and Communication Technology Research, 2011, 1(6): 258-270.

Google Scholar

[2] Y. Cai, X.F. Wang, Z. Li, et al. Delay and Capacity in MANETs under Random Walk Mobility Model [J]. Wireless Networks, 2013, Available from: http: /link. springer. com/article/10. 1007%2Fs 11276-013-0617-6.

DOI: 10.1007/s11276-013-0617-6

Google Scholar

[3] S. Sukumaran and J. Venkatesh. A Survey of Methods to Mitigate Selfishness in Mobile Ad hoc Networks [J]. International Journal of Information and Communication Technology Research, 2011, 1(2): 73-80.

Google Scholar

[4] S. Djahel, F. Nait-Abdesselam and Z. Zhang. Mitigating Packet Dropping Problem in Mobile Ad hoc Networks: Proposals and Challenges [J]. Communications Surveys & Tutorials, 2011, 13(4): 1-15.

DOI: 10.1109/surv.2011.072210.00026

Google Scholar

[5] K. Wang, M. Wu, C. Ding, et al. Game-based Modeling of Node Cooperation in Ad Hoc Networks [A]. Proceedings of WOCC 2010 [C]. Piscataway: IEEE Computer Society, 2010: 1-5.

DOI: 10.1109/wocc.2010.5510684

Google Scholar

[6] Z. Li and H.Y. Shen. Game-Theoretic Analysis of Cooperation Incentive Strategies in Mobile Ad Hoc Networks [J]. IEEE Transactions on Mobile Computing, 2012, 11(8): 1287-1303.

DOI: 10.1109/tmc.2011.151

Google Scholar

[7] L. Gyarmati and T.A. Trinh. Cooperative Strategies of Wireless Access Technologies: A Game-theoretic Analysis [J]. Pervasive and Mobile Computing, 2011, 7(5): 545-658.

DOI: 10.1016/j.pmcj.2010.11.006

Google Scholar

[8] L. Buttyan and J.P. Hubaux. Enforcing Service Availability in Mobile Ad-Hoc WANs [A]. Proceedings of MobiHoc 2000 [C]. Boston: IEEE/ACM Press, 2000: 87-96.

DOI: 10.1109/mobhoc.2000.869216

Google Scholar

[9] L. Buttyan and J.P. Hubaux. Stimulating Cooperation in Self-organizing Mobile Ad hoc Networks [J]. ACM Journal for Mobile Networks, 2003, 8(5): 579-592.

Google Scholar

[10] E. Fratkin, V. Vijayaraghavan, Y. Liu, et al. Participation Incentives for Ad Hoc Networks [EB/OL]. (2001).

Google Scholar

[2012] http: /www. stanford. edu/yl314/ape/paper. ps.

Google Scholar

[11] S. Zhong, J. Chen and Y.R. Yang. Sprite: A Simple, Cheap-Proof, Credit-Based System for Mobile Ad-Hoc Networks [A]. Proceedings of INFOCOM 2003 [C]. Piscataway: IEEE Press, 2003: 1987-(1997).

DOI: 10.1109/infcom.2003.1209220

Google Scholar

[12] D. Wen, Y. Cai and Z. Li. Two-hop Incentive Compatible Routing Protocol in Disruption- Tolerant Networks [J]. Journal of Computer Applications, 2013, 33(6): 1500-1504.

DOI: 10.3724/sp.j.1087.2013.01500

Google Scholar

[13] Y.W. Wang, V.C. Giruka and M Singhal. A Fair Distributed Solution for Selfish Nodes Problem in Wireless Ad Hoc Networks [J]. Lecture Notes in Computer Science, 2004, 3158(630): 211-224.

DOI: 10.1007/978-3-540-28634-9_17

Google Scholar

[14] S.K. Makki and K.B. Bonds. Enhancing Node Cooperation in Mobile Ad Hoc Network [J]. Journal of Networks, 2013, 8(3): 645-649.

DOI: 10.4304/jnw.8.3.645-649

Google Scholar

[15] S. Marti, T. Giuli, K. Lai, et al. Mitigating Routing Misbehavior in Mobile Ad hoc Networks [A]. Proceedings of MobiCom 2000 [C]. New York: IEEE/ACM Press, 2000: 255-265.

DOI: 10.1145/345910.345955

Google Scholar

[16] S. Buchegger, J.Y.L. Boudec. Nodes Bearing Grudges: Towards Routing Security, Fairness and Robustness in Mobile Ad hoc Networks [A]. Proceedings of Euromicro Workshop on PDP 2002 [C]. Spain: IEEE Computer Society, 2002: 403-410.

DOI: 10.1109/empdp.2002.994321

Google Scholar

[17] P. Michiardi and R. Molva. Core: A Collaborative Reputation Mechanism to Enforce Node Cooperation in Mobile Ad Hoc Networks [A]. Proceedings of IFIP 2002 [C]. New York: ACM Press, 2002: 107-121.

DOI: 10.1007/978-0-387-35612-9_9

Google Scholar

[18] E. Hernández-Orallo, O.M.D. Serrat, J. -C. Cano, et al. Improving Selfish Node Detection in MANETs Using a Collaborative Watchdog [J]. IEEE Communications Letters, 2012, 16(5): 642–645.

DOI: 10.1109/lcomm.2012.030912.112482

Google Scholar

[19] E. Hernández-Orallo, O.M.D. Serrat, J. -C. Cano, et al. Evaluation of Collaborative Selfish Node Detection in MANETs and DTNs [A]. Proceedings of MSWiM 2012 [C]. New York: ACM Press, 2012: 159-166.

DOI: 10.1145/2387238.2387266

Google Scholar

[20] S. Bansal and M. Baker. Observation-based Cooperation Enforcement in Ad hoc Network [R]. California: Stanford University, (2003).

Google Scholar

[21] M.T. Refaei, V. Srivastava, L. DaSilva, et al. A Reputation-based Mechanism for Isolating Selfish Nodes in Ad Hoc Networks [A]. Proceedings of MobiQuitous 2005 [C]. Washington D.C.: IEEE Computer Society, 2005: 3-11.

DOI: 10.1109/mobiquitous.2005.7

Google Scholar

[22] Z.J. Xu, Q. Hu, Y.J. Zhang, et al. Trust Evaluation Routing Protocol to Enforce Cooperation in Mobile Ad hoc Networks [J]. Journal on Communications, 2012, 33(7): 27-35.

Google Scholar

[23] R. Axelrod. The evolution of cooperation [M]. USA: Basic Books, (1984).

Google Scholar

[24] V. Srinivasan, P. Nuggehalli, C.F. Chiasserini, et al. Cooperation in Wireless Ad Hoc Network [A]. Proceedings of INFOCOM 2003 [C]. Piscataway: IEEE Press, 2003: 808-817.

DOI: 10.1109/infcom.2003.1208918

Google Scholar

[25] Y.X. Sun, Y.F. Zhao, Y. Li, et al. On Incentive Strategies for Trust Recommendations in Wireless Ad Hoc Networks with Probability Game [J]. Computer Science, 2011, 38(4): 65-71.

Google Scholar

[26] J.J. Liu, X.H. Jiang, R. Miura, et al. Optimal Forwarding Games in Mobile Ad Hoc Networks with Two-Hop f-cast Relay [J]. IEEE Journal on Selected Areas in Communications, 2012, 30(11): 2169-2179.

DOI: 10.1109/jsac.2012.121209

Google Scholar

[27] J.J. Jaramillo and R. Srikant. A Game Theory Based Reputation Mechanism to Incentivize Cooperation in Wireless Ad hoc Networks [J]. Ad Hoc Networks, 2010, 8(4): 416-429.

DOI: 10.1016/j.adhoc.2009.10.002

Google Scholar

[28] D.E. Charilas, K.D. Georgilakis and A.D. Panagopoulos. ICARUS: Hybrid Incentive Mechanism for Cooperation Stimulation in Ad Hoc Networks [J]. Ad Hoc Networks, 2012, 10(6): 976-989.

DOI: 10.1016/j.adhoc.2011.12.010

Google Scholar

[29] F. Wu, S. Zhong, C.M. Qiao, et al. A Game-Theoretic Approach to Stimulate Cooperation for Probabilistic Routing in Opportunistic Networks [J]. IEEE Trans. Wireless Communications, 2013, 12(4): 1573-1583.

DOI: 10.1109/twc.2013.022113.120282

Google Scholar

[30] K. Wang and M. Wu. Nash Equilibrium of Node Cooperation Based on Metamodel for MANETs [J]. Journal of Information Science & Engineering, 2012, 28(2): 317-333.

Google Scholar

[31] S. Zhong and F. Wu. On Designing Collusion-resistant Routing Schemes for Non-cooperative Wireless Ad Hoc Networks [A]. Proceedings of Mobicom 2007 [C]. New York: ACM Press, 2007: 278-289.

DOI: 10.1145/1287853.1287887

Google Scholar

[32] R. Kalaiarasi and D. Sridharan. Performance Improvement of Mobile Ad Hoc Network Using Particle Swarm Optimization [J]. Journal of Computational Information Systems, 2013, 9(11): 4213-4221.

Google Scholar