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Erschienen in: Wireless Networks 6/2020

15.04.2020

FUCEM: futuristic cooperation evaluation model using Markov process for evaluating node reliability and link stability in mobile ad hoc network

verfasst von: Prasannavenkatesan Theerthagiri

Erschienen in: Wireless Networks | Ausgabe 6/2020

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Abstract

The cooperation between the nodes is one of the potential factor for successful routing in mobile ad hoc networks. The non-cooperative behaviour of the node disturbs the routing as well as degrades network performances. The non-cooperativeness is due to the resource constraint characteristics of a mobile node. The battery energy is an important constraint of a node because it exhausts after some period. On the other side, the mobility of nodes also affects routing performances. Hence, this work concentrates on evaluating cooperation of a node by probing future node energy and mobility. This paper proposes a futuristic cooperation evaluation model (FUCEM) for evaluating node reliability and link stability to establish effective routing. The FUCEM model examines influencing factors of cooperation and state transition of nodes using Markov process. Node reliability and link stability manipulated through the Markov process. The Markov process helps in fixing the upper and lower bounds of the cooperation and calculates the cooperation factor. The NS2 simulator simulates the proposed work and evaluates performance results with different scenarios. The result indicates that the proposed FUCEM has 13–21% higher packet delivery ratio than other algorithms. The remaining energy of the nodes increases to 6–7% as compared with the existing algorithms in a higher mobility scenario. Further, it significantly improves the results of routing overhead and average end-to-end delay than the existing models.

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Literatur
1.
Zurück zum Zitat Prasannavenkatesan, T., & Menakadevi, T. (2016) Significance of scalability for on-demand routing protocols in MANETs. In IEEE Proceedings conference on emerging devices and smart systems (ICEDSS2016), Namakkal, March 4–5 (pp. 76–82). Prasannavenkatesan, T., & Menakadevi, T. (2016) Significance of scalability for on-demand routing protocols in MANETs. In IEEE Proceedings conference on emerging devices and smart systems (ICEDSS2016), Namakkal, March 45 (pp. 76–82).
2.
Zurück zum Zitat Prasannavenkatesan, T., Raja, R., & Ganeshkumar, P. (2014). PDA-misbehaving node detection and prevention for MANETs. In IEEE Proceedings of international conference on communication and signal processing (ICCSP), Melmaruvathur (pp. 1808–1812). Prasannavenkatesan, T., Raja, R., & Ganeshkumar, P. (2014). PDA-misbehaving node detection and prevention for MANETs. In IEEE Proceedings of international conference on communication and signal processing (ICCSP), Melmaruvathur (pp. 1808–1812).
3.
Zurück zum Zitat Shivashankar, H., Suresh, N., Golla, V., & Jayanthi, G. (2014). Designing energy routing protocol with power consumption optimization in MANET. IEEE Transactions on Emerging Topics in Computing, 2, 192–197.CrossRef Shivashankar, H., Suresh, N., Golla, V., & Jayanthi, G. (2014). Designing energy routing protocol with power consumption optimization in MANET. IEEE Transactions on Emerging Topics in Computing, 2, 192–197.CrossRef
4.
Zurück zum Zitat Rashid, U., Waqar, O., & Kiani, A. K. (2017). Mobility and energy aware routing algorithm for mobile adhoc networks. In IEEE explore (pp. 1–5). Rashid, U., Waqar, O., & Kiani, A. K. (2017). Mobility and energy aware routing algorithm for mobile adhoc networks. In IEEE explore (pp. 1–5).
5.
Zurück zum Zitat Samundiswary, P. (2012). Trust-based energy-aware reactive routing protocol for wireless sensor networks. International Journal of Computer Applications,43(21), 37–40. Samundiswary, P. (2012). Trust-based energy-aware reactive routing protocol for wireless sensor networks. International Journal of Computer Applications,43(21), 37–40.
6.
Zurück zum Zitat Pushpalatha, M., Venkataraman, R., & Ramarao, T. (2009). Trust-based energy-aware reliable reactive protocol in mobile ad hoc networks. International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering,3(8), 1529–1532. Pushpalatha, M., Venkataraman, R., & Ramarao, T. (2009). Trust-based energy-aware reliable reactive protocol in mobile ad hoc networks. International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering,3(8), 1529–1532.
7.
Zurück zum Zitat Sengathir, J., & Manoharan, R. (2015). A futuristic trust coefficient-based semi-Markov prediction model for mitigating selfish nodes in MANETs. EURASIP Journal on Wireless Communications and Networking, 158, 1–13. Sengathir, J., & Manoharan, R. (2015). A futuristic trust coefficient-based semi-Markov prediction model for mitigating selfish nodes in MANETs. EURASIP Journal on Wireless Communications and Networking, 158, 1–13.
8.
Zurück zum Zitat Jayalakshmi, V., & Razak, T. A. (2016). Trust-based power-aware secure source routing protocol using fuzzy logic for mobile ad hoc network. IAENG International Journal of Computer Science,43(1), 1–10. Jayalakshmi, V., & Razak, T. A. (2016). Trust-based power-aware secure source routing protocol using fuzzy logic for mobile ad hoc network. IAENG International Journal of Computer Science,43(1), 1–10.
9.
Zurück zum Zitat Khamayseh, Y., Obiedat, G., & Yassin, M. B. (2011). Mobility and load aware routing protocol for ad hoc networks. Journal of King Saud University-Computer and Information Sciences,23(2), 105–113.CrossRef Khamayseh, Y., Obiedat, G., & Yassin, M. B. (2011). Mobility and load aware routing protocol for ad hoc networks. Journal of King Saud University-Computer and Information Sciences,23(2), 105–113.CrossRef
10.
Zurück zum Zitat Rango, F. D., & Guerriero, F. (2012). Link-stability and energy-aware routing protocol in distributed wireless networks. IEEE Transactions on Parallel and Distributed Systems,23(4), 713–726.CrossRef Rango, F. D., & Guerriero, F. (2012). Link-stability and energy-aware routing protocol in distributed wireless networks. IEEE Transactions on Parallel and Distributed Systems,23(4), 713–726.CrossRef
11.
Zurück zum Zitat Manoharan, R., & Sengathir, J. (2016). Erlang coefficient based conditional probabilistic model for reliable data dissemination in MANETs. Journal of King Saud University-Computer and Information Sciences,28(3), 289–302.CrossRef Manoharan, R., & Sengathir, J. (2016). Erlang coefficient based conditional probabilistic model for reliable data dissemination in MANETs. Journal of King Saud University-Computer and Information Sciences,28(3), 289–302.CrossRef
12.
Zurück zum Zitat Gopal, D. G., & Saravanan, R. (2015). Fuzzy-based energy-aware routing protocol with trustworthiness for MANET. International Journal of Electronics and Information Engineering,3(2), 67–80. Gopal, D. G., & Saravanan, R. (2015). Fuzzy-based energy-aware routing protocol with trustworthiness for MANET. International Journal of Electronics and Information Engineering,3(2), 67–80.
13.
Zurück zum Zitat Tan, W. C., Bose, S. K., & Cheng, T. H. (2012). Power and mobility aware routing in wireless ad hoc networks. The Institution of Engineering and Technology,6(11), 1425–1437.MathSciNet Tan, W. C., Bose, S. K., & Cheng, T. H. (2012). Power and mobility aware routing in wireless ad hoc networks. The Institution of Engineering and Technology,6(11), 1425–1437.MathSciNet
14.
Zurück zum Zitat Macone, D., Oddi, G., & Pietrabissa, A. (2012). MQ-routing: Mobility-, GPS- and energy-aware routing protocol in MANETs for disaster relief scenarios. Ad Hoc Networks, 11, 861–878.CrossRef Macone, D., Oddi, G., & Pietrabissa, A. (2012). MQ-routing: Mobility-, GPS- and energy-aware routing protocol in MANETs for disaster relief scenarios. Ad Hoc Networks, 11, 861–878.CrossRef
15.
Zurück zum Zitat Prakash, J., Dutta, P., & Pal, A. (2012). Delay prediction in mobile ad hoc network using artificial neural network. Procedia Technology,4, 201–206.CrossRef Prakash, J., Dutta, P., & Pal, A. (2012). Delay prediction in mobile ad hoc network using artificial neural network. Procedia Technology,4, 201–206.CrossRef
16.
Zurück zum Zitat Yassir, A., Nasir, G. A., & Roy, P. (2013). Mobile ad hoc networks location prediction by using artificial neural networks: Considerations and future directions. International Journal Of Computer Technology and Applications,4(1), 120–125. Yassir, A., Nasir, G. A., & Roy, P. (2013). Mobile ad hoc networks location prediction by using artificial neural networks: Considerations and future directions. International Journal Of Computer Technology and Applications,4(1), 120–125.
17.
Zurück zum Zitat Gite, P. (2017). Link stability prediction for mobile Ad hoc network route stability. In IEEE International conference on inventive systems and control (ICISC) (pp. 1–5). Gite, P. (2017). Link stability prediction for mobile Ad hoc network route stability. In IEEE International conference on inventive systems and control (ICISC) (pp. 1–5).
18.
Zurück zum Zitat Olalekan, A. S., & Babatunde, H. A. (2018). Link state prediction in mobile ad hoc network using Markov renewal process. International Journal of ICT and Management,7, 26–43. Olalekan, A. S., & Babatunde, H. A. (2018). Link state prediction in mobile ad hoc network using Markov renewal process. International Journal of ICT and Management,7, 26–43.
19.
Zurück zum Zitat Palani, U., Suresh, K. C., & Nachiappan, A. (2018). Mobility prediction in mobile ad hoc networks using the eye of coverage approach. Cluster Computing, 22, 14991–14998.CrossRef Palani, U., Suresh, K. C., & Nachiappan, A. (2018). Mobility prediction in mobile ad hoc networks using the eye of coverage approach. Cluster Computing, 22, 14991–14998.CrossRef
20.
Zurück zum Zitat Chaudhari, S. S., & Biradar, R. C. (2014). Resource prediction-based routing using wavelet neural network in mobile ad hoc networks. In International conference on circuits, communication, control, and computing (pp. 273–276). Chaudhari, S. S., & Biradar, R. C. (2014). Resource prediction-based routing using wavelet neural network in mobile ad hoc networks. In International conference on circuits, communication, control, and computing (pp. 273–276).
21.
Zurück zum Zitat Senthilkumar, R., & Manikandan, P. (2018). Enhancement of AODV protocol based on energy level in MANETs. International Journal of Pure and Applied Mathematics.,118(7), 425–430. Senthilkumar, R., & Manikandan, P. (2018). Enhancement of AODV protocol based on energy level in MANETs. International Journal of Pure and Applied Mathematics.,118(7), 425–430.
22.
Zurück zum Zitat Manohari, D., Anandha Mala, G. S., & Anand Kumar, K. M. (2017). Fault-tolerant topology control with mobility prediction in MANETs for clinical care data transmission. Biomedical Research; Special Section: Artificial Intelligent Techniques for Bio-Medical Signal Processing. Special Issue: S36–S43. Manohari, D., Anandha Mala, G. S., & Anand Kumar, K. M. (2017). Fault-tolerant topology control with mobility prediction in MANETs for clinical care data transmission. Biomedical Research; Special Section: Artificial Intelligent Techniques for Bio-Medical Signal Processing. Special Issue: S36–S43.
23.
Zurück zum Zitat Lai, C.-C., & Liu, C.-M. (2019). A mobility-aware approach for distributed data update on unstructured mobile P2P networks. Journal of Parallel and Distributed Computing,123, 168–179.CrossRef Lai, C.-C., & Liu, C.-M. (2019). A mobility-aware approach for distributed data update on unstructured mobile P2P networks. Journal of Parallel and Distributed Computing,123, 168–179.CrossRef
24.
Zurück zum Zitat Chung, K.-C., Kuo, W.-H., & Liao, W. (2016). Delay analytical models for opportunistic routing in wireless ad hoc networks. IEEE Transactions on Vehicular Technology,66(6), 5330–5339.CrossRef Chung, K.-C., Kuo, W.-H., & Liao, W. (2016). Delay analytical models for opportunistic routing in wireless ad hoc networks. IEEE Transactions on Vehicular Technology,66(6), 5330–5339.CrossRef
25.
Zurück zum Zitat Wu, Y.-T., et al. (2008). Impact of node mobility on link duration in multihop mobile networks. IEEE Transactions on Vehicular Technology,58(5), 2435–2442. Wu, Y.-T., et al. (2008). Impact of node mobility on link duration in multihop mobile networks. IEEE Transactions on Vehicular Technology,58(5), 2435–2442.
26.
Zurück zum Zitat Dixit, P., Pillai, A., & Rishi, R. (2019). A lightweight efficient cluster-based routing model for mobile ad hoc networks (LWECM). International Journal of Information Technology 1–7. Dixit, P., Pillai, A., & Rishi, R. (2019). A lightweight efficient cluster-based routing model for mobile ad hoc networks (LWECM). International Journal of Information Technology 1–7.
27.
Zurück zum Zitat Mitra, R., & Sharma, S. (2018). Proactive data routing using controlled mobility of a mobile sink in wireless sensor networks. Computers & Electrical Engineering,70, 21–36.CrossRef Mitra, R., & Sharma, S. (2018). Proactive data routing using controlled mobility of a mobile sink in wireless sensor networks. Computers & Electrical Engineering,70, 21–36.CrossRef
28.
Zurück zum Zitat Ma, X., Chisiu, S., Kacimi, R., & Dhaou, R. (2017). Opportunistic communications in WSN using UAV. In 2017 14th IEEE Annual consumer communications and networking conference (CCNC). IEEE. Ma, X., Chisiu, S., Kacimi, R., & Dhaou, R. (2017). Opportunistic communications in WSN using UAV. In 2017 14th IEEE Annual consumer communications and networking conference (CCNC). IEEE.
29.
Zurück zum Zitat Swidan, A., Abdelghany, H. B., Saifan, R., & Zilic, Z. (2016). Mobility and direction aware ad-hoc on-demand distance vector routing protocol. Procedia Computer Science,94, 49–56.CrossRef Swidan, A., Abdelghany, H. B., Saifan, R., & Zilic, Z. (2016). Mobility and direction aware ad-hoc on-demand distance vector routing protocol. Procedia Computer Science,94, 49–56.CrossRef
30.
Zurück zum Zitat Theerthagiri, P., & Thangavelu, M. (2019). Futuristic speed prediction using auto-regression and neural networks for mobile ad hoc networks. International Journal of Communication Systems,32(9), e3951.CrossRef Theerthagiri, P., & Thangavelu, M. (2019). Futuristic speed prediction using auto-regression and neural networks for mobile ad hoc networks. International Journal of Communication Systems,32(9), e3951.CrossRef
31.
Zurück zum Zitat Sengathir, J., & Manoharan, R. (2015). Exponential reliability coefficient based reputation mechanism for isolating selfish nodes in MANETs, Egypt. Informatics Journal,16(2), 231–241. Sengathir, J., & Manoharan, R. (2015). Exponential reliability coefficient based reputation mechanism for isolating selfish nodes in MANETs, Egypt. Informatics Journal,16(2), 231–241.
32.
Zurück zum Zitat Chao, G., & Zhu, Q. (2014). An energy-aware routing protocol for mobile ad hoc networks based on route energy comprehensive index. Wireless Personal Communication,79, 1557–1570.CrossRef Chao, G., & Zhu, Q. (2014). An energy-aware routing protocol for mobile ad hoc networks based on route energy comprehensive index. Wireless Personal Communication,79, 1557–1570.CrossRef
33.
Zurück zum Zitat Theerthagiri, P. (2019). CoFEE: Context-aware futuristic energy estimation model for sensor nodes using the Markov model and autoregression. International Journal of Communication Systems, e4248. Theerthagiri, P. (2019). CoFEE: Context-aware futuristic energy estimation model for sensor nodes using the Markov model and autoregression. International Journal of Communication Systems, e4248.
34.
Zurück zum Zitat Prasannavenkatesan, T., Rajakumar, P., & Pitchaikkannu, A. (2014). Overview of proactive routing protocols in MANET. In IEEE Proceedings of 4th international conference on communication systems & network technologies (pp. 173–177). Prasannavenkatesan, T., Rajakumar, P., & Pitchaikkannu, A. (2014). Overview of proactive routing protocols in MANET. In IEEE Proceedings of 4th international conference on communication systems & network technologies (pp. 173–177).
35.
Zurück zum Zitat Yoon, J., Liu, M., & Noble, B. (2003). Random waypoint considered harmful. In IEEE INFOCOM 2003. Twenty-second annual joint conference of the IEEE computer and communications societies (IEEE Cat. No. 03CH37428) (Vol. 2). IEEE. Yoon, J., Liu, M., & Noble, B. (2003). Random waypoint considered harmful. In IEEE INFOCOM 2003. Twenty-second annual joint conference of the IEEE computer and communications societies (IEEE Cat. No. 03CH37428) (Vol. 2). IEEE.
39.
Zurück zum Zitat Gopinath, S., & Nagarajan, N. (2015). Energy-based reliable multicast routing protocol for packet forwarding in MANET. Journal of Applied Research and Technology,13, 374–381.CrossRef Gopinath, S., & Nagarajan, N. (2015). Energy-based reliable multicast routing protocol for packet forwarding in MANET. Journal of Applied Research and Technology,13, 374–381.CrossRef
40.
Zurück zum Zitat Wang, B., Chen, X., & Chang, W. (2014). A light-weight trust-based QoS routing algorithm for ad hoc networks. Pervasive and Mobile Computing,13, 164–180.CrossRef Wang, B., Chen, X., & Chang, W. (2014). A light-weight trust-based QoS routing algorithm for ad hoc networks. Pervasive and Mobile Computing,13, 164–180.CrossRef
41.
Zurück zum Zitat Toh, C.-K. (2001). Maximum battery life routing to support ubiquitous mobile computing in wireless ad hoc networks. IEEE Communications Magazine,39(6), 138–147.CrossRef Toh, C.-K. (2001). Maximum battery life routing to support ubiquitous mobile computing in wireless ad hoc networks. IEEE Communications Magazine,39(6), 138–147.CrossRef
42.
Zurück zum Zitat Jensen, C. D., & Connell, P. O. (2006). Trust-based route selection in dynamic source routing. In International conference on trust management. Berlin: Springer. Jensen, C. D., & Connell, P. O. (2006). Trust-based route selection in dynamic source routing. In International conference on trust management. Berlin: Springer.
Metadaten
Titel
FUCEM: futuristic cooperation evaluation model using Markov process for evaluating node reliability and link stability in mobile ad hoc network
verfasst von
Prasannavenkatesan Theerthagiri
Publikationsdatum
15.04.2020
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 6/2020
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-020-02326-y

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