Skip to main content
Erschienen in: Wireless Personal Communications 2/2023

25.02.2023

Design of a new CPEDSR Protocol for Optimizing the Communication in Mobile Network

verfasst von: Kapil Juneja

Erschienen in: Wireless Personal Communications | Ausgabe 2/2023

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The congestion problem can occur in a cooperative network because of the non-responsiveness of intermediate nodes or heavy traffic. Existing DSR cannot optimize the communication route in a such high congestion situation. In this paper, a new CPEDSR protocol is presented for handling energy and congestion-critical situations in the mobile network. The main objective of the proposed protocol is to identify the suspected attacked and congested nodes and perform communication over safe and reliable nodes.In this improved protocol, a congestion ratio-based probabilistic measure is employed for computing the congestion-resistance (CR) for each node. The weight is evaluated based on connectivity count (CC), residual energy (RE), average participation (AP), and average failure (AF) ratios. After computing the individual parameter, the overall CR is estimated to label the congestion-safe nodes. The weight rules are implied on CR for deciding the participation eligibility of the node. With each communication session, a more effective and accurate decision for node participation is taken. It is an experience adaptive protocol that acquires some weightage of the previous status for making decisions about the current node. This participation degree of neighbor nodes is processed by the DSR protocol to identify the next effective hop. The simulation is performed in congested and DDOS-infected networks. The comparative analysis is done against the existing and improved reactive protocols. The proposed protocol is validated on four network scenarios with a varied number of nodes and in attacked, non-attacked, and heavy traffic situations. The proposed CPEDSR protocol is validated against DSR, AODV, SAODV, PSAODV, PDS-AODV, and RSKNSN protocols. The average loss rate of AODV, DSR, SAODV, PSAODV, PDS-AODV, RSKNSN, and the proposed CPEDSR protocols for all scenarios is 15.07, 18.99, 10.62, 7.09, 8.30, 9.27, and 6.08%. The average number of dead nodes for all scenarios is 20.75 for AODV, 22.75 for DSR, 19.75 for SAODV, 18.5 for PSAODV, 18.25 for PDS-AODV, 16.75 for RSKNSN, and 14 for CPEDSR. It shows that the proposed protocol improved the network life and reduced communication loss during transmission.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Muchtar, F., Abdullah, A. H., Al-Adhaileh, M., & Zamli, K. Z. (2020). Energy conservation strategies in Named Data Networking based MANET using congestion control: A review. Journal of Network and Computer Applications, 152, 102511.CrossRef Muchtar, F., Abdullah, A. H., Al-Adhaileh, M., & Zamli, K. Z. (2020). Energy conservation strategies in Named Data Networking based MANET using congestion control: A review. Journal of Network and Computer Applications, 152, 102511.CrossRef
2.
Zurück zum Zitat Sharma, N., Gupta, A., Rajput, S. S., & Yadav, V. K. (2016) Congestion control techniques in MANET: A survey. In: Second International Conference on Computational Intelligence & Communication Technology (CICT), pp. 280–282. Sharma, N., Gupta, A., Rajput, S. S., & Yadav, V. K. (2016) Congestion control techniques in MANET: A survey. In: Second International Conference on Computational Intelligence & Communication Technology (CICT), pp. 280–282.
3.
Zurück zum Zitat Sirajuddin, M. D., Rupa, C., & Prasad, A. (2016) Advanced congestion control techniques for MANET. In: Information Systems Design and Intelligent Applications, pp. 271–279. Sirajuddin, M. D., Rupa, C., & Prasad, A. (2016) Advanced congestion control techniques for MANET. In: Information Systems Design and Intelligent Applications, pp. 271–279.
4.
Zurück zum Zitat Rajawat, S., Kuri, M., Chaudhary, A., & Choudhary, S. S (2016) Effective congestion less dynamic source routing for data transmission in MANETs. In: International Congress on Information and Communication Technology, pp. 499–511. Rajawat, S., Kuri, M., Chaudhary, A., & Choudhary, S. S (2016) Effective congestion less dynamic source routing for data transmission in MANETs. In: International Congress on Information and Communication Technology, pp. 499–511.
5.
Zurück zum Zitat Yuvaraj, D., Sivaram, M., & Nageswari, S. (2019). Some investigation on DDOS attack models in mobile networks. International Journal of Interactive Mobile Technologies, 13(10), 71–88.CrossRef Yuvaraj, D., Sivaram, M., & Nageswari, S. (2019). Some investigation on DDOS attack models in mobile networks. International Journal of Interactive Mobile Technologies, 13(10), 71–88.CrossRef
6.
Zurück zum Zitat Batra, J., & Krishna, C. R. (2019). Ddos attack detection and prevention using Aodv routing mechanism and Ffbp neural network in a manet. International Journal of Recent Technology and Engineering (IJRTE), 8(2), 4136–4142.CrossRef Batra, J., & Krishna, C. R. (2019). Ddos attack detection and prevention using Aodv routing mechanism and Ffbp neural network in a manet. International Journal of Recent Technology and Engineering (IJRTE), 8(2), 4136–4142.CrossRef
7.
Zurück zum Zitat Yuvaraj, D., Sivaram, M., Ahamed, A. U., & Nageswari, S. (2019). Some investigation on DDOS attack models in mobile networks. International Journal of Interactive Mobile Technologies (iJIM), 13(10), 71–88.CrossRef Yuvaraj, D., Sivaram, M., Ahamed, A. U., & Nageswari, S. (2019). Some investigation on DDOS attack models in mobile networks. International Journal of Interactive Mobile Technologies (iJIM), 13(10), 71–88.CrossRef
8.
Zurück zum Zitat Kanellopoulos, D. (2019). Congestion control for MANETs: An overview. ICT Express, 5(2), 77–83.CrossRef Kanellopoulos, D. (2019). Congestion control for MANETs: An overview. ICT Express, 5(2), 77–83.CrossRef
9.
Zurück zum Zitat Shah, S. A., Nazir, B., & Khan, I. A. (2017). Congestion control algorithms in wireless sensor networks: Trends and opportunities. Journal of King Saud University-Computer and Information Sciences, 29(3), 236–245.CrossRef Shah, S. A., Nazir, B., & Khan, I. A. (2017). Congestion control algorithms in wireless sensor networks: Trends and opportunities. Journal of King Saud University-Computer and Information Sciences, 29(3), 236–245.CrossRef
10.
Zurück zum Zitat Gupta, S., & Prasad, G. (2016) Enhanced load balancing and delay constraint AOMDV routing in MANET. In: Symposium on Colossal Data Analysis and Networking (CDAN), pp. 1–6. Gupta, S., & Prasad, G. (2016) Enhanced load balancing and delay constraint AOMDV routing in MANET. In: Symposium on Colossal Data Analysis and Networking (CDAN), pp. 1–6.
11.
Zurück zum Zitat Mohamed, N. J., Sahib, S., Suryana, N., & Hussin, B. (2016). Understanding network congestion effects on performance - Articles review. Journal of Theoretical and Applied Information Technology, 92(2), 311–321. Mohamed, N. J., Sahib, S., Suryana, N., & Hussin, B. (2016). Understanding network congestion effects on performance - Articles review. Journal of Theoretical and Applied Information Technology, 92(2), 311–321.
12.
Zurück zum Zitat Hamamreh, R. A. (2019). SDCM: Secure dynamic end-to-end congestion avoidance protocol for MANETs. Journal of Theoretical and Applied Information Technology, 27(21), 3122–3131. Hamamreh, R. A. (2019). SDCM: Secure dynamic end-to-end congestion avoidance protocol for MANETs. Journal of Theoretical and Applied Information Technology, 27(21), 3122–3131.
13.
Zurück zum Zitat Irudayarajan, S., Punitha, P., Shanthini, J., & Karthik, S., (2018) A Review on load balancing for reducing congestion in mobile Ad-Hoc networks. In: International Conference on Soft-computing and Network Security (ICSNS), pp. 1–7. Irudayarajan, S., Punitha, P., Shanthini, J., & Karthik, S., (2018) A Review on load balancing for reducing congestion in mobile Ad-Hoc networks. In: International Conference on Soft-computing and Network Security (ICSNS), pp. 1–7.
14.
Zurück zum Zitat Mallapur, S. V., Patil, S. R., & Agarkhed, J. V. (2017). Load balancing technique for congestion control multipath routing protocol in MANETs. Wireless Personal Communications, 92(2), 749–770.CrossRef Mallapur, S. V., Patil, S. R., & Agarkhed, J. V. (2017). Load balancing technique for congestion control multipath routing protocol in MANETs. Wireless Personal Communications, 92(2), 749–770.CrossRef
15.
Zurück zum Zitat Robinson, Y. H., et al. (2019). Link-Disjoint multipath routing for network traffic overload handling in mobile Ad-hoc networks. IEEE Access, 7, 143312–143323.CrossRef Robinson, Y. H., et al. (2019). Link-Disjoint multipath routing for network traffic overload handling in mobile Ad-hoc networks. IEEE Access, 7, 143312–143323.CrossRef
16.
Zurück zum Zitat Balaji, S., & Robinson, Y. H. (2018) Development of multipath resilience routing technique to improve the fault tolerance in mobile Ad-Hoc networks. In: International Conference on Inventive Research in Computing Applications (ICIRCA);, pp. 743–747. Balaji, S., & Robinson, Y. H. (2018) Development of multipath resilience routing technique to improve the fault tolerance in mobile Ad-Hoc networks. In: International Conference on Inventive Research in Computing Applications (ICIRCA);, pp. 743–747.
17.
Zurück zum Zitat Sharma, D. K., Patra, A. N., & Kumar, C. (2017). P-AODV: A priority based route maintenance process in mobile ad hoc networks. Wireless Personal Communications, 95(4), 4381–4402.CrossRef Sharma, D. K., Patra, A. N., & Kumar, C. (2017). P-AODV: A priority based route maintenance process in mobile ad hoc networks. Wireless Personal Communications, 95(4), 4381–4402.CrossRef
18.
Zurück zum Zitat Mohsin, A. H., Bakar, K. A., & Zainal, A. (2018). Optimal control overhead based multi-metric routing for MANET. Wireless Networks, 24(6), 2319–2335.CrossRef Mohsin, A. H., Bakar, K. A., & Zainal, A. (2018). Optimal control overhead based multi-metric routing for MANET. Wireless Networks, 24(6), 2319–2335.CrossRef
19.
Zurück zum Zitat Gulati, M. K., Sachdeva, M., & Kumar, K. (2017). Load balanced and link break prediction routing protocol for mobile Ad Hoc networks. Journal of Communications, 12(6), 353–363.CrossRef Gulati, M. K., Sachdeva, M., & Kumar, K. (2017). Load balanced and link break prediction routing protocol for mobile Ad Hoc networks. Journal of Communications, 12(6), 353–363.CrossRef
20.
Zurück zum Zitat Kaji, K., & Yoshihiro, T. (2017) Adaptive rerouting to avoid local congestion in MANETs. In: IEEE Wireless Communications and Networking Conference (WCNC), pp. 1–6. Kaji, K., & Yoshihiro, T. (2017) Adaptive rerouting to avoid local congestion in MANETs. In: IEEE Wireless Communications and Networking Conference (WCNC), pp. 1–6.
21.
Zurück zum Zitat Sarkar, D., Choudhury, S., & Majumder, A. (2018). Enhanced-Ant-AODV for optimal route selection in mobile ad-hoc network. Journal of King Saud University - Computer and Information Sciences, 33(10), 1186–1201.CrossRef Sarkar, D., Choudhury, S., & Majumder, A. (2018). Enhanced-Ant-AODV for optimal route selection in mobile ad-hoc network. Journal of King Saud University - Computer and Information Sciences, 33(10), 1186–1201.CrossRef
22.
Zurück zum Zitat Rathore, S., & Khan, M. R. (2016) Enhance congestion control multipath routing with ANT optimization in mobile ad hoc network. In: International Conference on ICT in Business Industry & Government (ICTBIG), pp. 1–7. Rathore, S., & Khan, M. R. (2016) Enhance congestion control multipath routing with ANT optimization in mobile ad hoc network. In: International Conference on ICT in Business Industry & Government (ICTBIG), pp. 1–7.
23.
Zurück zum Zitat Zhong, Z., Hamchaoui, I., Ferrieux, A., Khatoun, R., & Serhrouchni, A. (2018) CDBE: A cooperative way to improve end-to-end congestion control in mobile network. In: 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), pp. 216–223. Zhong, Z., Hamchaoui, I., Ferrieux, A., Khatoun, R., & Serhrouchni, A. (2018) CDBE: A cooperative way to improve end-to-end congestion control in mobile network. In: 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), pp. 216–223.
24.
Zurück zum Zitat Park, S., et al., (2018) ExLL: an extremely low-latency congestion control for mobile cellular networks. In: 14th International Conference on emerging Networking EXperiments and Technologies (CoNEXT '18), pp. 307–319. Park, S., et al., (2018) ExLL: an extremely low-latency congestion control for mobile cellular networks. In: 14th International Conference on emerging Networking EXperiments and Technologies (CoNEXT '18), pp. 307–319.
25.
Zurück zum Zitat Turk, Y., & Zeydan, E. (2020). An experimental measurement analysis of congestion over converged fixed and mobile networks. Wireless Networks, 26, 1017–1032.CrossRef Turk, Y., & Zeydan, E. (2020). An experimental measurement analysis of congestion over converged fixed and mobile networks. Wireless Networks, 26, 1017–1032.CrossRef
26.
Zurück zum Zitat Kaur, N., & Singhai, R. (2018) Minimizing congestion in mobile Ad hoc network using adaptive control packet frequency and data rate. In: Computing, Communication and Signal Processing, pp. 285–294. Kaur, N., & Singhai, R. (2018) Minimizing congestion in mobile Ad hoc network using adaptive control packet frequency and data rate. In: Computing, Communication and Signal Processing, pp. 285–294.
27.
Zurück zum Zitat Sharma, V. K., & Kumar, M. (2017). Adaptive congestion control scheme in mobile ad-hoc networks. Peer-to-Peer Networking and Applications, 10(3), 633–657.CrossRef Sharma, V. K., & Kumar, M. (2017). Adaptive congestion control scheme in mobile ad-hoc networks. Peer-to-Peer Networking and Applications, 10(3), 633–657.CrossRef
28.
Zurück zum Zitat Gururaj, H. L., & Ramesh, B. (2015) Congestion control for optimizing data transfer rate in mobile Ad-hoc networks using HSTCP. In: International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT), pp. 1–5. Gururaj, H. L., & Ramesh, B. (2015) Congestion control for optimizing data transfer rate in mobile Ad-hoc networks using HSTCP. In: International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT), pp. 1–5.
29.
Zurück zum Zitat Do Dinh, C., Van, T. N., & Gia, H. N. (2016). Improving AODV protocol to avoid congested areas in mobile Ad hoc networks. Indian Journal of Science & Technology, 9(39), 1–16.CrossRef Do Dinh, C., Van, T. N., & Gia, H. N. (2016). Improving AODV protocol to avoid congested areas in mobile Ad hoc networks. Indian Journal of Science & Technology, 9(39), 1–16.CrossRef
30.
Zurück zum Zitat Amuthan, A., Sreenath, N., Boobalan, P., & Muthuraj, K. (2018). Dynamic multi-stage tandem queue modeling-based congestion adaptive routing for MANET. Alexandria Engineering Journal, 57(3), 1467–1473.CrossRef Amuthan, A., Sreenath, N., Boobalan, P., & Muthuraj, K. (2018). Dynamic multi-stage tandem queue modeling-based congestion adaptive routing for MANET. Alexandria Engineering Journal, 57(3), 1467–1473.CrossRef
31.
Zurück zum Zitat Mishra, A., & Baghel, A. S. (2018) Interference and congestion control using multichannel energy-based routing in MANET. In: International Conference on Recent Advancement on Computer and Communication, pp. 571–579. Mishra, A., & Baghel, A. S. (2018) Interference and congestion control using multichannel energy-based routing in MANET. In: International Conference on Recent Advancement on Computer and Communication, pp. 571–579.
32.
Zurück zum Zitat Ezhil Selvan, T. C., Malathi, P., & Ezhilin, F. S. (2020). An efficient method for adjustable load equalization for reducing traffic in routing for mobile Ad Hoc networks. Wireless Personal Communications, 110, 2149–2164.CrossRef Ezhil Selvan, T. C., Malathi, P., & Ezhilin, F. S. (2020). An efficient method for adjustable load equalization for reducing traffic in routing for mobile Ad Hoc networks. Wireless Personal Communications, 110, 2149–2164.CrossRef
33.
Zurück zum Zitat Sliwa, B., Falkenberg, R., & Wietfeld, C (2017) A simple scheme for distributed passive load balancing in mobile Ad-Hoc networks. In: 85th Vehicular Technology Conference (VTC Spring), pp. 1–5. Sliwa, B., Falkenberg, R., & Wietfeld, C (2017) A simple scheme for distributed passive load balancing in mobile Ad-Hoc networks. In: 85th Vehicular Technology Conference (VTC Spring), pp. 1–5.
34.
Zurück zum Zitat Luo, P. (2016). Bloom filter based load balancing mechanis for mobile Ad Hoc networks. Journal of Communications, 11(11), 1012–1019. Luo, P. (2016). Bloom filter based load balancing mechanis for mobile Ad Hoc networks. Journal of Communications, 11(11), 1012–1019.
35.
Zurück zum Zitat Zhang, D., & Zhou, D. (2017) Load balancing algorithm based on history information in MANET. In: 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), pp. 737–742. Zhang, D., & Zhou, D. (2017) Load balancing algorithm based on history information in MANET. In: 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), pp. 737–742.
36.
Zurück zum Zitat Shanthi, H. J., & Anita, E. M. (2019). Secure and efficient location-aided routing against DDOS attack in Manet. International Journal of Recent Technology and Engineering (IJRTE), 8(3), 4820–4829.CrossRef Shanthi, H. J., & Anita, E. M. (2019). Secure and efficient location-aided routing against DDOS attack in Manet. International Journal of Recent Technology and Engineering (IJRTE), 8(3), 4820–4829.CrossRef
37.
Zurück zum Zitat Juneja, K. (2020). DRI table based traffic-behaviour analysis approach for detection of blackhole attack. International Journal of Sensors, Wireless Communications and Control, 10(1), 79–93.CrossRef Juneja, K. (2020). DRI table based traffic-behaviour analysis approach for detection of blackhole attack. International Journal of Sensors, Wireless Communications and Control, 10(1), 79–93.CrossRef
38.
Zurück zum Zitat Juneja, K. (2019). Probabilistic dempster shafer based communication behaviour analysis for attack safe communication in mobile network. Pertanika Journal of Science and Technology, 27(3), 1301–1316. Juneja, K. (2019). Probabilistic dempster shafer based communication behaviour analysis for attack safe communication in mobile network. Pertanika Journal of Science and Technology, 27(3), 1301–1316.
39.
Zurück zum Zitat Juneja, K. (2020). Random-Session and K-Neighbour based suspected node analysis approach for cooperative blackhole detection in MANET. Wireless Personal Communications, 110(1), 45–68.CrossRef Juneja, K. (2020). Random-Session and K-Neighbour based suspected node analysis approach for cooperative blackhole detection in MANET. Wireless Personal Communications, 110(1), 45–68.CrossRef
Metadaten
Titel
Design of a new CPEDSR Protocol for Optimizing the Communication in Mobile Network
verfasst von
Kapil Juneja
Publikationsdatum
25.02.2023
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2023
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-023-10191-z

Weitere Artikel der Ausgabe 2/2023

Wireless Personal Communications 2/2023 Zur Ausgabe