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Wireless Networks
Erschienen in: Wireless Networks 5/2017

20.02.2016

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

verfasst von: M. Anuradha, G. S. Anandha Mala

Erschienen in: Wireless Networks | Ausgabe 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.
Vorheriger Artikel Information-centric dissemination protocol for safety information in vehicular ad-hoc networks
Nächster Artikel An efficient cooperative hybrid routing protocol for hybrid wireless mesh networks

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Literatur
1.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Zeng, Y., et al. (2013). Directional routing and scheduling for green vehicular delay tolerant networks. Wireless Networks, 19(2), 161–173.MathSciNetCrossRef
21.
Wang, X., et al. (2012). A survey of green mobile networks: Opportunities and challenges. MONET, 17(1), 4–20.MathSciNet
22.
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.
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.
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.
Liu, Y. et al. (2010). Multi-layer clustering routing algorithm for wireless vehicular sensor networks. IET communications, 4(7), 810–816.CrossRef
26.
Busch, C., et al. (2012). approximating congestion + dilation in networks via “quality of routing” games. IEEE Transaction Computers, 61(9), 1270–1283.MathSciNetCrossRef
27.
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
28.
29.
Dvir, A., et al. (2011). Backpressure-based routing protocol for DTNs. ACM SIGCOMM Computer Communication Review, 41(4), 405–406.MathSciNet
30.
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.
Spyropoulos, T., et al. (2010). Routing for disruption tolerant networks: Taxonomy and design. Wireless Networks, 16(8), 2349–2370.CrossRef
32.
Vasilakos, A., et al. (2012). Delay tolerant networks: Protocols and applications. Boca Raton: CRC Press.
33.
Youssef, M., et al. (2014). Routing metrics of cognitive radio networks: A survey. IEEE Communications Surveys and Tutorials, 16(1), 92–109.CrossRef
34.
Woungang, I., et al. (2013). Routing in opportunistic networks. Berlin: Springer book.CrossRefMATH
35.
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.
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.
Vasilakos, A. V., et al. (2015). Information centric network: Research challenges and opportunities. Journal of Network and Computer Applications, 52, 1–10.CrossRef
38.
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.
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.
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.
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.
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.
Reza Rahimi, M., et al. (2014). Mobile cloud computing: A survey, state of art and future directions. MONET, 19(2), 133–143.
44.
Xiang, L., et al. (2011) Compressed data aggregation for energy efficient wireless sensor networks. SECON 46–54.
45.
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
Metadaten
Titel
Cross-layer based congestion detection and routing protocol using fuzzy logic for MANET
verfasst von
M. Anuradha
G. S. Anandha Mala
Publikationsdatum
20.02.2016
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 5/2017
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-016-1211-5

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