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Erschienen in: Wireless Personal Communications 1/2018

16.08.2017

Fuzzy Logic Based Reliable and Real-Time Routing Protocol for Mobile Ad hoc Networks

verfasst von: Solmaz Ghasemnezhad, Ali Ghaffari

Erschienen in: Wireless Personal Communications | Ausgabe 1/2018

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Abstract

MANET (mobile ad-hoc network) includes a set of wireless mobile nodes which communicate with one another without any central controls or infrastructures and they can be quickly implemented in the operational environment. One of the most significant issues in MANETs is concerned with finding a secure, safe and short route so that data can be transmitted through it. Although several routing protocols have been introduced for the network, the majority of them just consider the shortest path with the fewest number of hops. Hop criterion is considered for simple implementation and it is reliable in dynamic environments; however, queuing delay and connection delay in the intermediate nodes are not taken into consideration for selecting route in this criterion. In this paper, a fuzzy logic-based reliable routing protocol (FRRP) is proposed for MANETs which selects stable routes using fuzzy logic. It is able to optimize system efficiency. The score allocated to routes are based on four criteria: accessible bandwidth, the amount of energy of battery, the number of hops and the degree of dynamicity of nodes. The simulation results obtained from OPNET simulator version 10.5 indicate that the proposed protocol, in comparison with ad hoc on-demand distance vector (AODV) and fuzzy-based on-demand routing protocol (FBORP), was able to better improve packet delivery rate, average end-to-end delay and throughput.

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Literatur
1.
Zurück zum Zitat Ghaffari, A. (2014). An energy efficient routing protocol for wireless sensor networks using A-star algorithm. Journal of Applied Research and Technology, 12, 815–822.CrossRef Ghaffari, A. (2014). An energy efficient routing protocol for wireless sensor networks using A-star algorithm. Journal of Applied Research and Technology, 12, 815–822.CrossRef
2.
Zurück zum Zitat Ghaffari, A. (2015). Congestion control mechanisms in wireless sensor networks: A survey. Journal of Network and Computer Applications, 52, 101–115.CrossRef Ghaffari, A. (2015). Congestion control mechanisms in wireless sensor networks: A survey. Journal of Network and Computer Applications, 52, 101–115.CrossRef
3.
Zurück zum Zitat Alsaqour, R., Abdelhaq, M., Saeed, R., Uddin, M., Alsukour, O., Al-Hubaishi, M., et al. (2015). Dynamic packet beaconing for GPSR mobile ad hoc position-based routing protocol using fuzzy logic. Journal of Network and Computer Applications, 47, 32–46.CrossRef Alsaqour, R., Abdelhaq, M., Saeed, R., Uddin, M., Alsukour, O., Al-Hubaishi, M., et al. (2015). Dynamic packet beaconing for GPSR mobile ad hoc position-based routing protocol using fuzzy logic. Journal of Network and Computer Applications, 47, 32–46.CrossRef
4.
Zurück zum Zitat Kundu, J., Majumder, K., & De, D. (2016). An efficient trust-based routing scheme by max–min composition of fuzzy logic for MANET. In Proceedings of the International Conference on Recent Cognizance in Wireless Communication and Image Processing (pp. 435–440). Kundu, J., Majumder, K., & De, D. (2016). An efficient trust-based routing scheme by max–min composition of fuzzy logic for MANET. In Proceedings of the International Conference on Recent Cognizance in Wireless Communication and Image Processing (pp. 435–440).
5.
Zurück zum Zitat Zhang, X. M., Zhang, Y., Yan, F., & Vasilakos, A. V. (2015). Interference-based topology control algorithm for delay-constrained mobile ad hoc networks. IEEE Transactions on Mobile Computing, 14, 742–754.CrossRef Zhang, X. M., Zhang, Y., Yan, F., & Vasilakos, A. V. (2015). Interference-based topology control algorithm for delay-constrained mobile ad hoc networks. IEEE Transactions on Mobile Computing, 14, 742–754.CrossRef
6.
Zurück zum Zitat Ahmadi, M., Shojafar, M., Khademzadeh, A., Badie, K., & Tavoli, R. (2015). A hybrid algorithm for preserving energy and delay routing in mobile ad-hoc networks. Wireless Personal Communications, 85, 2485–2505.CrossRef Ahmadi, M., Shojafar, M., Khademzadeh, A., Badie, K., & Tavoli, R. (2015). A hybrid algorithm for preserving energy and delay routing in mobile ad-hoc networks. Wireless Personal Communications, 85, 2485–2505.CrossRef
7.
Zurück zum Zitat Misra, S., Krishna, P. V., Bhiwal, A., Chawla, A. S., Wolfinger, B. E., & Lee, C. (2012). A learning automata-based fault-tolerant routing algorithm for mobile ad hoc networks. The Journal of Supercomputing, 62, 4–23.CrossRef Misra, S., Krishna, P. V., Bhiwal, A., Chawla, A. S., Wolfinger, B. E., & Lee, C. (2012). A learning automata-based fault-tolerant routing algorithm for mobile ad hoc networks. The Journal of Supercomputing, 62, 4–23.CrossRef
8.
Zurück zum Zitat Chettibi, S., & Chikhi, S. (2016). Dynamic fuzzy logic and reinforcement learning for adaptive energy efficient routing in mobile ad-hoc networks. Applied Soft Computing, 38, 321–328.CrossRef Chettibi, S., & Chikhi, S. (2016). Dynamic fuzzy logic and reinforcement learning for adaptive energy efficient routing in mobile ad-hoc networks. Applied Soft Computing, 38, 321–328.CrossRef
9.
Zurück zum Zitat Kots, A., & Kumar, M. (2014). The fuzzy based QMPR selection for OLSR routing protocol. Wireless Networks, 20, 1–10.CrossRef Kots, A., & Kumar, M. (2014). The fuzzy based QMPR selection for OLSR routing protocol. Wireless Networks, 20, 1–10.CrossRef
10.
Zurück zum Zitat Yuste, A. J., Triviño, A., & Casilari, E. (2013). Type-2 fuzzy decision support system to optimise MANET integration into infrastructure-based wireless systems. Expert Systems with Applications, 40, 2552–2567.CrossRef Yuste, A. J., Triviño, A., & Casilari, E. (2013). Type-2 fuzzy decision support system to optimise MANET integration into infrastructure-based wireless systems. Expert Systems with Applications, 40, 2552–2567.CrossRef
11.
Zurück zum Zitat Omidvar, A., & Mohammadi, K. (2014). Particle swarm optimization in intelligent routing of delay-tolerant network routing. EURASIP Journal on Wireless Communications and Networking, 2014, 1–8.CrossRef Omidvar, A., & Mohammadi, K. (2014). Particle swarm optimization in intelligent routing of delay-tolerant network routing. EURASIP Journal on Wireless Communications and Networking, 2014, 1–8.CrossRef
12.
Zurück zum Zitat Suraj, R., Tapaswi, S., Yousef, S., Pattanaik, K., & Cole, M. (2015). Mobility prediction in mobile ad hoc networks using a lightweight genetic algorithm. Wireless Networks, 22, 1–10. Suraj, R., Tapaswi, S., Yousef, S., Pattanaik, K., & Cole, M. (2015). Mobility prediction in mobile ad hoc networks using a lightweight genetic algorithm. Wireless Networks, 22, 1–10.
13.
Zurück zum Zitat Alghamdi, S. A. (2016). Load balancing maximal minimal nodal residual energy ad hoc on-demand multipath distance vector routing protocol (LBMMRE-AOMDV). Wireless Networks, 22, 1355–1363.CrossRef Alghamdi, S. A. (2016). Load balancing maximal minimal nodal residual energy ad hoc on-demand multipath distance vector routing protocol (LBMMRE-AOMDV). Wireless Networks, 22, 1355–1363.CrossRef
14.
Zurück zum Zitat Tabatabaei, S., Teshnehlab, M., & Mirabedini, S. J. (2015). Fuzzy-based routing protocol to increase throughput in mobile ad hoc networks. Wireless Personal Communications, 84, 2307–2325.CrossRef Tabatabaei, S., Teshnehlab, M., & Mirabedini, S. J. (2015). Fuzzy-based routing protocol to increase throughput in mobile ad hoc networks. Wireless Personal Communications, 84, 2307–2325.CrossRef
15.
Zurück zum Zitat Tabatabaei, S., Teshnehlab, M., & Mirabedini, S. J. (2015). A new routing protocol to increase throughput in mobile ad hoc networks. Wireless Personal Communications, 83, 1765–1778.CrossRef Tabatabaei, S., Teshnehlab, M., & Mirabedini, S. J. (2015). A new routing protocol to increase throughput in mobile ad hoc networks. Wireless Personal Communications, 83, 1765–1778.CrossRef
16.
Zurück zum Zitat Rafsanjani, M. K., & Fatemidokht, H. (2015). FBeeAdHoc: a secure routing protocol for BeeAdHoc based on fuzzy logic in MANETs. AEU-International Journal of Electronics and Communications, 69, 1613–1621.CrossRef Rafsanjani, M. K., & Fatemidokht, H. (2015). FBeeAdHoc: a secure routing protocol for BeeAdHoc based on fuzzy logic in MANETs. AEU-International Journal of Electronics and Communications, 69, 1613–1621.CrossRef
17.
Zurück zum Zitat Anuradha, M., & Mala, G. A. (2016). Cross-layer based congestion detection and routing protocol using fuzzy logic for MANET. Wireless Networks, 23, 1–13. Anuradha, M., & Mala, G. A. (2016). Cross-layer based congestion detection and routing protocol using fuzzy logic for MANET. Wireless Networks, 23, 1–13.
18.
Zurück zum Zitat Baccour, N., Koubâa, A., Youssef, H., & Alves, M. (2015). Reliable link quality estimation in low-power wireless networks and its impact on tree-routing. Ad Hoc Networks, 27, 1–25.CrossRef Baccour, N., Koubâa, A., Youssef, H., & Alves, M. (2015). Reliable link quality estimation in low-power wireless networks and its impact on tree-routing. Ad Hoc Networks, 27, 1–25.CrossRef
19.
Zurück zum Zitat Tamandani, Y. K., & Bokhari, M. U. (2016). SEPFL routing protocol based on fuzzy logic control to extend the lifetime and throughput of the wireless sensor network. Wireless Networks, 22, 647–653.CrossRef Tamandani, Y. K., & Bokhari, M. U. (2016). SEPFL routing protocol based on fuzzy logic control to extend the lifetime and throughput of the wireless sensor network. Wireless Networks, 22, 647–653.CrossRef
20.
Zurück zum Zitat Ayyasamy, A., & Venkatachalapathy, K. (2015). Context aware adaptive fuzzy based QoS routing scheme for streaming services over MANETs. Wireless Networks, 21, 421–430.CrossRef Ayyasamy, A., & Venkatachalapathy, K. (2015). Context aware adaptive fuzzy based QoS routing scheme for streaming services over MANETs. Wireless Networks, 21, 421–430.CrossRef
21.
Zurück zum Zitat You, L., Li, J., Wei, C., Dai, C., Xu, J., & Hu, L. (2014). A hop count based heuristic routing protocol for mobile delay tolerant networks. The Scientific World Journal, 2014, 1–12. You, L., Li, J., Wei, C., Dai, C., Xu, J., & Hu, L. (2014). A hop count based heuristic routing protocol for mobile delay tolerant networks. The Scientific World Journal, 2014, 1–12.
22.
Zurück zum Zitat Vu, T. K., & Kwon, S. (2014). Mobility-assisted on-demand routing algorithm for MANETs in the presence of location errors. The Scientific World Journal, 2014, 1–11. Vu, T. K., & Kwon, S. (2014). Mobility-assisted on-demand routing algorithm for MANETs in the presence of location errors. The Scientific World Journal, 2014, 1–11.
23.
Zurück zum Zitat Sivakumar, B., Bhalaji, N., & Sivakumar, D. (2014). A survey on investigating the need for intelligent power-aware load balanced routing protocols for handling critical links in MANETs. The Scientific World Journal, 2014, 1–12. Sivakumar, B., Bhalaji, N., & Sivakumar, D. (2014). A survey on investigating the need for intelligent power-aware load balanced routing protocols for handling critical links in MANETs. The Scientific World Journal, 2014, 1–12.
24.
Zurück zum Zitat Kumar, K., & Singh, V. (2014). Power consumption based simulation model for mobile ad-hoc network. Wireless Personal Communications, 77, 1437–1448.CrossRef Kumar, K., & Singh, V. (2014). Power consumption based simulation model for mobile ad-hoc network. Wireless Personal Communications, 77, 1437–1448.CrossRef
25.
Zurück zum Zitat Sridhar, S., Baskaran, R., & Chandrasekar, P. (2013). Energy supported AODV (EN-AODV) for QoS routing in MANET. Procedia-Social and Behavioral Sciences, 73, 294–301.CrossRef Sridhar, S., Baskaran, R., & Chandrasekar, P. (2013). Energy supported AODV (EN-AODV) for QoS routing in MANET. Procedia-Social and Behavioral Sciences, 73, 294–301.CrossRef
26.
Zurück zum Zitat Sumathi, K., & Priyadharshini, A. (2015). Energy optimization in manets using on-demand routing protocol. Procedia Computer Science, 47, 460–470.CrossRef Sumathi, K., & Priyadharshini, A. (2015). Energy optimization in manets using on-demand routing protocol. Procedia Computer Science, 47, 460–470.CrossRef
27.
Zurück zum Zitat Kanakaris, V., Ndzi, D., & Azzi, D. (2010). Ad-hoc networks energy consumption: a review of the ad-hoc routing protocols. Journal of Engineering Science and Technology Review (JESTR), 3, 162–167. Kanakaris, V., Ndzi, D., & Azzi, D. (2010). Ad-hoc networks energy consumption: a review of the ad-hoc routing protocols. Journal of Engineering Science and Technology Review (JESTR), 3, 162–167.
28.
Zurück zum Zitat Royer, E. M., & Perkins, C. E. (1999). Multicast operation of the ad-hoc on-demand distance vector routing protocol. In Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking (pp. 207–218). Royer, E. M., & Perkins, C. E. (1999). Multicast operation of the ad-hoc on-demand distance vector routing protocol. In Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking (pp. 207–218).
29.
Zurück zum Zitat Xia, H., Jia, Z., Li, X., Ju, L., & Sha, E. H.-M. (2013). Trust prediction and trust-based source routing in mobile ad hoc networks. Ad Hoc Networks, 11, 2096–2114.CrossRef Xia, H., Jia, Z., Li, X., Ju, L., & Sha, E. H.-M. (2013). Trust prediction and trust-based source routing in mobile ad hoc networks. Ad Hoc Networks, 11, 2096–2114.CrossRef
30.
Zurück zum Zitat Kumar, J. Y., & Kumar, V. R. (2012). Energy level accuracy and life time increased in mobile ad-hoc networks using OLSR. International Journal of Advanced Research in Computer Science and Software Engineering, 2, 97–103. Kumar, J. Y., & Kumar, V. R. (2012). Energy level accuracy and life time increased in mobile ad-hoc networks using OLSR. International Journal of Advanced Research in Computer Science and Software Engineering, 2, 97–103.
31.
Zurück zum Zitat Palma, D., & Curado, M. (2012). Onto scalable ad-hoc networks: deferred routing. Computer Communications, 35, 1574–1589.CrossRef Palma, D., & Curado, M. (2012). Onto scalable ad-hoc networks: deferred routing. Computer Communications, 35, 1574–1589.CrossRef
32.
Zurück zum Zitat Ghaffari, A. (2017). Real-time routing algorithm for mobile ad hoc networks using reinforcement learning and heuristic algorithms. Wireless Networks, 23, 1–12.CrossRef Ghaffari, A. (2017). Real-time routing algorithm for mobile ad hoc networks using reinforcement learning and heuristic algorithms. Wireless Networks, 23, 1–12.CrossRef
Metadaten
Titel
Fuzzy Logic Based Reliable and Real-Time Routing Protocol for Mobile Ad hoc Networks
verfasst von
Solmaz Ghasemnezhad
Ali Ghaffari
Publikationsdatum
16.08.2017
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 1/2018
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-017-4885-9

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