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Published in: Wireless Networks 5/2017

20-02-2016

Cross-layer based congestion detection and routing protocol using fuzzy logic for MANET

Authors: M. Anuradha, G. S. Anandha Mala

Published in: Wireless Networks | Issue 5/2017

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Abstract

Mobile Ad hoc Networks (MANET) is made up of mobile devices which form an infrastructure-less network. In MANET, the devices can change its location and configure itself at any time. Hence, there is a possibility for the network to be prone to abnormal network events due to certain factors like error in the links, overflow in the buffers, layers, and so forth. So, in this paper, a cross-layer based congestion detection and routing protocol is proposed using Fuzzy logic. In this protocol, whenever a network event occurs, the kind of event occurring is recognized in order to handle it accordingly. Next, the alternate routes for data transmission are determined by applying the concept of fuzzy logic on some of the critical factors. Based on the fuzzy inference rules, appropriate routes are selected and data messages are transmitted successfully.

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Literature
1.
go back to reference Jehan, M., & G. Radhamani, Scalable TCP: Better throughput in TCP congestion control algorithms on MANETs. International Journal of Advanced Computer Science and Applications Special Issue on Wireless and Mobile Networks. Jehan, M., & G. Radhamani, Scalable TCP: Better throughput in TCP congestion control algorithms on MANETs. International Journal of Advanced Computer Science and Applications Special Issue on Wireless and Mobile Networks.
2.
go back to reference Geetika, M., Gour, M., & Chourasia, U. K. (2014). A survey on congestion control in MANET. International Journal of Computer Science and Information Technologies 5 (2). Geetika, M., Gour, M., & Chourasia, U. K. (2014). A survey on congestion control in MANET. International Journal of Computer Science and Information Technologies 5 (2).
3.
go back to reference Srinivas, K., & Chari, A. A. (2011). Cross layer congestion control in MANETs and current state of art. International Journal of Computer Applications, 29(6), 28–35.CrossRef Srinivas, K., & Chari, A. A. (2011). Cross layer congestion control in MANETs and current state of art. International Journal of Computer Applications, 29(6), 28–35.CrossRef
4.
go back to reference Sheeja, S., & Pujeri, R. V. (2013). Cross layer based congestion control scheme for mobile ad hoc networks. International Journal of Computer Applications, 67(9), 60–67.CrossRef Sheeja, S., & Pujeri, R. V. (2013). Cross layer based congestion control scheme for mobile ad hoc networks. International Journal of Computer Applications, 67(9), 60–67.CrossRef
5.
go back to reference Senthilkumaran T & Sankaranarayanan V (2011) Early congestion detection and optimal control routing in manet. European Journal of Scientific Research, 63(1): 15–31, ISSN: 1450-216X. Senthilkumaran T & Sankaranarayanan V (2011) Early congestion detection and optimal control routing in manet. European Journal of Scientific Research, 63(1): 15–31, ISSN: 1450-216X.
6.
go back to reference Nidhi, S., Gupta, N., & Parveen, N. (2014). Survey of cross layer based TCP congestion control techniques in MANET. International Journal of Emerging Technology and Advanced Engineering, 4(3), ISSN: 2250-2459 Nidhi, S., Gupta, N., & Parveen, N. (2014). Survey of cross layer based TCP congestion control techniques in MANET. International Journal of Emerging Technology and Advanced Engineering, 4(3), ISSN: 2250-2459
7.
go back to reference Sreenivasa, B. C., BhanuPrakash, G. C., & Ramakrishnan, K. V. (2011). A survey on congestion control techniques in AD-HOC network. Elixir Adoc Networks, 32, 2061–2067. Sreenivasa, B. C., BhanuPrakash, G. C., & Ramakrishnan, K. V. (2011). A survey on congestion control techniques in AD-HOC network. Elixir Adoc Networks, 32, 2061–2067.
8.
go back to reference Appaji, V. V., & Sreedhar, Dr. (2012). CPCRT: Crosslayered and power conserved routing topology for congestion control in mobile ad hoc networks. IOSR Journal of Computer Engineering (IOSRJCE), 3(5): 17–25, ISSN: 2278-0661. Appaji, V. V., & Sreedhar, Dr. (2012). CPCRT: Crosslayered and power conserved routing topology for congestion control in mobile ad hoc networks. IOSR Journal of Computer Engineering (IOSRJCE), 3(5): 17–25, ISSN: 2278-0661.
9.
go back to reference Natarajan, E., & Devi, L. (2014). Cross layer based energy aware routing and congestion control algorithm in MANET. International Journal of Computer Science and Mobile Computing, 3(10), 700–709. Natarajan, E., & Devi, L. (2014). Cross layer based energy aware routing and congestion control algorithm in MANET. International Journal of Computer Science and Mobile Computing, 3(10), 700–709.
10.
go back to reference Thilagavathe, V., & Duraiswamy, Dr. K. (2011). Cross layer based congestion control technique for reliable and energy aware routing in MANET. International Journal of Computer Applications, 36(12): 1–6, ISSN: 0975–8887. Thilagavathe, V., & Duraiswamy, Dr. K. (2011). Cross layer based congestion control technique for reliable and energy aware routing in MANET. International Journal of Computer Applications, 36(12): 1–6, ISSN: 0975–8887.
11.
go back to reference Lin, X., & Shroff, N. B. (2006). The impact of imperfect scheduling on cross-layer congestion control in wireless networks. IEEE/ACM Transactions onNetworking, 14(2), 302–315.CrossRef Lin, X., & Shroff, N. B. (2006). The impact of imperfect scheduling on cross-layer congestion control in wireless networks. IEEE/ACM Transactions onNetworking, 14(2), 302–315.CrossRef
12.
go back to reference Sunitha, D., Nagaraju, A., & Narsimha, G. (2014). A cross-layer approach for congestion control in multi hop mobile ad hoc networks. In Proceedings of international conference on computing for sustainable global development (INDIACom), pp. 54–60. IEEE. Sunitha, D., Nagaraju, A., & Narsimha, G. (2014). A cross-layer approach for congestion control in multi hop mobile ad hoc networks. In Proceedings of international conference on computing for sustainable global development (INDIACom), pp. 54–60. IEEE.
13.
go back to reference Chang, H.-P., Kan, H.-W., & Ho, M.-H. (2012). Adaptive TCP congestion control and routing schemes using cross-layer information for mobile ad hoc networks. Computer Communications, 35(4), 454–474.CrossRef Chang, H.-P., Kan, H.-W., & Ho, M.-H. (2012). Adaptive TCP congestion control and routing schemes using cross-layer information for mobile ad hoc networks. Computer Communications, 35(4), 454–474.CrossRef
14.
go back to reference Zhao, W., Huang, X., Shi, K., & Zhang, L. (2013). TSBCC: Time series-based congestion control algorithm for wireless network. Journal of Networks, 8(5), 1058–1064. Zhao, W., Huang, X., Shi, K., & Zhang, L. (2013). TSBCC: Time series-based congestion control algorithm for wireless network. Journal of Networks, 8(5), 1058–1064.
15.
go back to reference Tabash, I. K., Ahmad, N., & Beg, S. (2011). A congestion window control mechanism based on fuzzy logic to improve tcp performance in manets. In Proceedings of international conference on computational intelligence and communication networks (CICN), IEEE (pp. 21–26). Tabash, I. K., Ahmad, N., & Beg, S. (2011). A congestion window control mechanism based on fuzzy logic to improve tcp performance in manets. In Proceedings of international conference on computational intelligence and communication networks (CICN), IEEE (pp. 21–26).
16.
go back to reference Douga, Y., & Bourenane, M. (2013). A cross layer solution to improve TCP performances in Ad Hoc wireless networks. In Proceedings of international conference on smart communications in network technologies (SaCoNeT), vol. 1, pp. 1–5. IEEE. Douga, Y., & Bourenane, M. (2013). A cross layer solution to improve TCP performances in Ad Hoc wireless networks. In Proceedings of international conference on smart communications in network technologies (SaCoNeT), vol. 1, pp. 1–5. IEEE.
17.
go back to reference Rath, H. K., Rajan, M. A. & Balamuralidhar, P. (2011). Monotonic signed graph approach for cross-layer congestion control in wireless ad-hoc networks. In GLOBECOM workshops (GC Wkshps) (pp. 309–314). IEEE. Rath, H. K., Rajan, M. A. & Balamuralidhar, P. (2011). Monotonic signed graph approach for cross-layer congestion control in wireless ad-hoc networks. In GLOBECOM workshops (GC Wkshps) (pp. 309–314). IEEE.
18.
go back to reference Pushpender & Garg, S. (2014). New routing technique based on fuzzy and network dependent for wireless mesh networks. International Journal of Modern Electronics and Communication Engineering (IJMECE), 2(1), ISSN: 2321-2152. Pushpender & Garg, S. (2014). New routing technique based on fuzzy and network dependent for wireless mesh networks. International Journal of Modern Electronics and Communication Engineering (IJMECE), 2(1), ISSN: 2321-2152.
19.
go back to reference Anuradha, M. & Anandha Mala G. S. (2014). Multi-objective cross-layer based multipath routing protocol in manet. Journal of Theoretical and Applied Information Technology, 68(3), 531–540. Anuradha, M. & Anandha Mala G. S. (2014). Multi-objective cross-layer based multipath routing protocol in manet. Journal of Theoretical and Applied Information Technology, 68(3), 531–540.
20.
go back to reference Zeng, Y., et al. (2013). Directional routing and scheduling for green vehicular delay tolerant networks. Wireless Networks, 19(2), 161–173.MathSciNetCrossRef Zeng, Y., et al. (2013). Directional routing and scheduling for green vehicular delay tolerant networks. Wireless Networks, 19(2), 161–173.MathSciNetCrossRef
21.
go back to reference Wang, X., et al. (2012). A survey of green mobile networks: Opportunities and challenges. MONET, 17(1), 4–20.MathSciNet Wang, X., et al. (2012). A survey of green mobile networks: Opportunities and challenges. MONET, 17(1), 4–20.MathSciNet
22.
go back to reference Li, P. et al. (2012). CodePipe: An opportunistic feeding and routing protocol for reliable multicast with pipelined network coding. In INFOCOM (pp. 100–108). Li, P. et al. (2012). CodePipe: An opportunistic feeding and routing protocol for reliable multicast with pipelined network coding. In INFOCOM (pp. 100–108).
23.
go back to reference Song, Y., et al. (2014). A biology-based algorithm to minimal exposure problem of wireless sensor networks. IEEE Transactions on Network and Service Management, 11(3), 417–430.CrossRef Song, Y., et al. (2014). A biology-based algorithm to minimal exposure problem of wireless sensor networks. IEEE Transactions on Network and Service Management, 11(3), 417–430.CrossRef
24.
go back to reference Liu, L., et al. (2015). Physarum optimization: A biology-inspired algorithm for the steiner tree problem in networks. IEEE Transactions on Computers, 64(3), 819–832.MathSciNetMATH Liu, L., et al. (2015). Physarum optimization: A biology-inspired algorithm for the steiner tree problem in networks. IEEE Transactions on Computers, 64(3), 819–832.MathSciNetMATH
25.
go back to reference Liu, Y. et al. (2010). Multi-layer clustering routing algorithm for wireless vehicular sensor networks. IET communications, 4(7), 810–816.CrossRef Liu, Y. et al. (2010). Multi-layer clustering routing algorithm for wireless vehicular sensor networks. IET communications, 4(7), 810–816.CrossRef
26.
go back to reference Busch, C., et al. (2012). approximating congestion + dilation in networks via “quality of routing” games. IEEE Transaction Computers, 61(9), 1270–1283.MathSciNetCrossRef Busch, C., et al. (2012). approximating congestion + dilation in networks via “quality of routing” games. IEEE Transaction Computers, 61(9), 1270–1283.MathSciNetCrossRef
27.
go back to reference Li, P., et al. (2014). Reliable multicast with pipelined network coding using opportunistic feeding and routing. IEEE Transactions on Parallel and Distributed Systems, 25(12), 3264–3273.CrossRef Li, P., et al. (2014). Reliable multicast with pipelined network coding using opportunistic feeding and routing. IEEE Transactions on Parallel and Distributed Systems, 25(12), 3264–3273.CrossRef
29.
go back to reference Dvir, A., et al. (2011). Backpressure-based routing protocol for DTNs. ACM SIGCOMM Computer Communication Review, 41(4), 405–406.MathSciNet Dvir, A., et al. (2011). Backpressure-based routing protocol for DTNs. ACM SIGCOMM Computer Communication Review, 41(4), 405–406.MathSciNet
30.
go back to reference Yen, Y.-S., et al. (2011). Flooding-limited and multi-constrained QoS multicast routing based on the genetic algorithm for MANETs. Mathematical and Computer Modelling, 53(11–12), 2238–2250.CrossRef Yen, Y.-S., et al. (2011). Flooding-limited and multi-constrained QoS multicast routing based on the genetic algorithm for MANETs. Mathematical and Computer Modelling, 53(11–12), 2238–2250.CrossRef
31.
go back to reference Spyropoulos, T., et al. (2010). Routing for disruption tolerant networks: Taxonomy and design. Wireless Networks, 16(8), 2349–2370.CrossRef Spyropoulos, T., et al. (2010). Routing for disruption tolerant networks: Taxonomy and design. Wireless Networks, 16(8), 2349–2370.CrossRef
32.
go back to reference Vasilakos, A., et al. (2012). Delay tolerant networks: Protocols and applications. Boca Raton: CRC Press. Vasilakos, A., et al. (2012). Delay tolerant networks: Protocols and applications. Boca Raton: CRC Press.
33.
go back to reference Youssef, M., et al. (2014). Routing metrics of cognitive radio networks: A survey. IEEE Communications Surveys and Tutorials, 16(1), 92–109.CrossRef Youssef, M., et al. (2014). Routing metrics of cognitive radio networks: A survey. IEEE Communications Surveys and Tutorials, 16(1), 92–109.CrossRef
34.
35.
go back to reference Zhang, X. M., et al. (2015). Interference-based topology control algorithm for delay-constrained mobile Ad hoc networks. IEEE Transactions on Mobile Computing, 14(4), 742–754.MathSciNetCrossRef Zhang, X. M., et al. (2015). Interference-based topology control algorithm for delay-constrained mobile Ad hoc networks. IEEE Transactions on Mobile Computing, 14(4), 742–754.MathSciNetCrossRef
36.
go back to reference Duarte, P. B. F., et al. (2012). On the partially overlapped channel assignment on wireless mesh network backbone: A game theoretic approach. Selected Areas in Communications, IEEE Journal on, 30(1), 119–127.MathSciNetCrossRef Duarte, P. B. F., et al. (2012). On the partially overlapped channel assignment on wireless mesh network backbone: A game theoretic approach. Selected Areas in Communications, IEEE Journal on, 30(1), 119–127.MathSciNetCrossRef
37.
go back to reference Vasilakos, A. V., et al. (2015). Information centric network: Research challenges and opportunities. Journal of Network and Computer Applications, 52, 1–10.CrossRef Vasilakos, A. V., et al. (2015). Information centric network: Research challenges and opportunities. Journal of Network and Computer Applications, 52, 1–10.CrossRef
38.
go back to reference Yao, Y., et al. (2013) EDAL: An Energy-efficient, delay-aware, and lifetime-balancing data collection protocol for wireless sensor networks. In MASS (pp. 182–190). Yao, Y., et al. (2013) EDAL: An Energy-efficient, delay-aware, and lifetime-balancing data collection protocol for wireless sensor networks. In MASS (pp. 182–190).
39.
go back to reference Marwaha, S., et al. (2004). Evolutionary fuzzy multi-objective routing for wireless mobile ad hoc networks. Evolutionary Computation, CEC 2004. Congress on 2, 1964–1971. Marwaha, S., et al. (2004). Evolutionary fuzzy multi-objective routing for wireless mobile ad hoc networks. Evolutionary Computation, CEC 2004. Congress on 2, 1964–1971.
40.
go back to reference Vasilakos, A. et al. (2003). Optimizing QoS routing in hierarchical ATM networks using computational intelligence techniques. In Systems, man, and cybernetics, part C: applications and reviews, IEEE, 2003 Vasilakos, A. et al. (2003). Optimizing QoS routing in hierarchical ATM networks using computational intelligence techniques. In Systems, man, and cybernetics, part C: applications and reviews, IEEE, 2003
41.
go back to reference Quan, W. et al. (2014) TB2F: Tree-bitmap and bloom-filter for a scalable and efficient name lookup in content-centric networking. In IFIP Networking, 2014. Quan, W. et al. (2014) TB2F: Tree-bitmap and bloom-filter for a scalable and efficient name lookup in content-centric networking. In IFIP Networking, 2014.
42.
go back to reference Acampora, G., et al. (2010). Interoperable and adaptive fuzzy services for ambient intelligence applications. ACM Transactions on Autonomous and Adaptive Systems (TAAS), 5(2), 8. Acampora, G., et al. (2010). Interoperable and adaptive fuzzy services for ambient intelligence applications. ACM Transactions on Autonomous and Adaptive Systems (TAAS), 5(2), 8.
43.
go back to reference Reza Rahimi, M., et al. (2014). Mobile cloud computing: A survey, state of art and future directions. MONET, 19(2), 133–143. Reza Rahimi, M., et al. (2014). Mobile cloud computing: A survey, state of art and future directions. MONET, 19(2), 133–143.
44.
go back to reference Xiang, L., et al. (2011) Compressed data aggregation for energy efficient wireless sensor networks. SECON 46–54. Xiang, L., et al. (2011) Compressed data aggregation for energy efficient wireless sensor networks. SECON 46–54.
45.
go back to reference Yang, M., et al. (2015). Software-defined and virtualized future mobile and wireless networks: A survey. ACM/Springer Mobile Networks and Applications, 20(1), 4–18.CrossRef Yang, M., et al. (2015). Software-defined and virtualized future mobile and wireless networks: A survey. ACM/Springer Mobile Networks and Applications, 20(1), 4–18.CrossRef
Metadata
Title
Cross-layer based congestion detection and routing protocol using fuzzy logic for MANET
Authors
M. Anuradha
G. S. Anandha Mala
Publication date
20-02-2016
Publisher
Springer US
Published in
Wireless Networks / Issue 5/2017
Print ISSN: 1022-0038
Electronic ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-016-1211-5

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