Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Wireless Networks
Erschienen in: Wireless Networks 3/2016

01.04.2016

Towards a novel trust-based opportunistic routing protocol for wireless networks

verfasst von: Mahmood Salehi, Azzedine Boukerche, Amir Darehshoorzadeh, Abdelhamid Mammeri

Erschienen in: Wireless Networks | Ausgabe 3/2016

Einloggen

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

search-config
loading …

Abstract

Opportunistic routing is a promising research area in the context of wireless network communications. Security and trustworthy of routing in this field, however, needs to be considerably researched . In this paper, a novel trust establishment algorithm is proposed, designed, and implemented specifically for opportunistic routing protocols which benefits from direct interactions between wireless nodes. The proposed trust model benefits from a novel watchdog mechanism considering not only forwarding behaviour of nodes but also the quality of links between them. Furthermore, three different metrics for next hop selection is introduced enabling nodes to select their next hop forwarders more sophisticatedly using quality of links, geographical location of nodes, and their trust level. Extensive simulation results represent that proposed model can significantly improve the performance of network communications when malicious nodes try to collapse the system.
Vorheriger Artikel Optimizing routing based on congestion control for wireless sensor networks
Nächster Artikel Fuzzy logic based unequal clustering for wireless sensor networks

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

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!

Jetzt informieren

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!

Jetzt informieren

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!

Jetzt informieren
Literatur
1.
Attar, A., Tang, H., Vasilakos, A. V., Yu, F. R., & Leung, V. C. (2012). A survey of security challenges in cognitive radio networks: Solutions and future research directions. Proceedings of the IEEE, 100(12), 3172–3186.CrossRef
2.
Biswas, S., & Morris, R. (2004). Opportunistic routing in multi-hop wireless networks. ACM SIGCOMM Computer Communication Review, 34(1), 69–74.CrossRef
3.
Boukerch, A., Xu, L., & EL-Khatib, K. (2007). Trust-based security for wireless ad hoc and sensor networks. Computer Communications, 30(1112), 2413–2427. special issue on security on wireless ad hoc and sensor networks.CrossRef
4.
Boukerche, A., & Darehshoorzadeh, A. (2014). Opportunistic routing in wireless networks: Models, algorithms, and classifications. ACM Computing Surveys (CSUR), 47(2), 22.CrossRef
5.
Boukerche, A., & Ren, Y. (2008). A trust-based security system for ubiquitous and pervasive computing environments. Computer Communications, 31(18), 4343–4351.CrossRef
6.
Boukerche, A., Ren, Y., & Pazzi, R. W. N. (2009). An adaptive computational trust model for mobile ad hoc networks. In Proceedings of the 2009 international conference on wireless communications and mobile computing: Connecting the world wirelessly (pp. 191–195). ACM.
7.
Boukerche, A., Turgut, B., Aydin, N., Ahmad, M. Z., Blni, L., & Turgut, D. (2011). Routing protocols in ad hoc networks: A survey. Computer Networks, 55(13), 3032–3080.CrossRef
8.
Buchegger, S., & Le Boudec, J. Y. (2002). Performance analysis of the confidant protocol. In Proceedings of the 3rd ACM international symposium on mobile ad hoc networking and computing (pp. 226–236). ACM.
9.
Cho, J. H., Swami, A., & Chen, R. (2011). A survey on trust management for mobile ad hoc networks. Communications Surveys and Tutorials, IEEE, 13(4), 562–583.CrossRef
10.
Darehshoorzadeh, A., & Boukerche, A. (2014). An efficient heuristic candidate selection algorithm for opportunistic routing in wireless multihop networks. In IEEE symposium on Computers and communication (ISCC), 2014. (pp. 1–6). IEEE.
11.
Darehshoorzadeh, A., & Cerda-Alabern, L. (2012). Distance progress based opportunistic routing for wireless mesh networks. In 8th International wireless communications and mobile computing conference (IWCMC), 2012. (pp. 179–184). IEEE.
12.
Darehshoorzadeh, A., Almulla, M., Boukerche, A., & Chaiwala, S. (2013). On the number of candidates in opportunistic routing for multi-hop wireless networks. In Proceedings of the 11th ACM international symposium on mobility management and wireless access (pp. 9–16). ACM.
13.
Deng, H., Li, W., & Agrawal, D. P. (2002). Routing security in wireless ad hoc networks. Communications Magazine, IEEE, 40(10), 70–75.CrossRef
14.
Dubois-Ferrière, H., Grossglauser, M., & Vetterli, M. (2007). Least-cost opportunistic routing. Tech. rep.
15.
Dubois-Ferrière, H., Grossglauser, M., & Vetterli, M. (2011). Valuable detours: Least-cost anypath routing. Networking, IEEE/ACM Transactions on, 19(2), 333–346.CrossRef
16.
Fall, K., & Varadhan, K. (2005). The ns manual (formerly ns notes and documentation). The VINT project 47.
17.
Füßler, H., Widmer, J., Käsemann, M., Mauve, M., & Hartenstein, H. (2003). Contention-based forwarding for mobile ad hoc networks. Ad Hoc Networks, 1(4), 351–369.CrossRef
18.
Ganeriwal, S., Balzano, L. K., & Srivastava, M. B. (2008). Reputation-based framework for high integrity sensor networks. ACM Transactions on Sensor Networks (TOSN), 4(3), 15.CrossRef
19.
Ghosh, T., Pissinou, N., & Makki, K. (2005). Towards designing a trusted routing solution in mobile ad hoc networks. Mobile Networks and Applications, 10(6), 985–995.CrossRef
20.
He, Q., Wu, D., & Khosla, P. (2004). Sori: A secure and objective reputation-based incentive scheme for ad-hoc networks. In Wireless communications and networking conference, 2004. WCNC. 2004 IEEE (vol 2. pp. 825–830). IEEE.
21.
Hsu, C. J., Liu, H. I., & Seah, W. K. (2011). Opportunistic routing-a review and the challenges ahead. Computer Networks, 55(15), 3592–3603.CrossRef
22.
Li, F., & Wu, J. (2007). Mobility reduces uncertainty in manets. In INFOCOM 2007. 26th IEEE International conference on computer communications. IEEE (pp. 1946–1954). IEEE.
23.
Li, J., Jannotti, J., De Couto, D. S. J., Karger, D. R., & Morris, R. (2000). A scalable location service for geographic ad hoc routing. In Proceedings of the 6th annual international conference on mobile computing and networking (pp. 120–130). New York, NY, USA: ACM, MobiCom ’00.
24.
Li, N., & Das, S. K. (2013). A trust-based framework for data forwarding in opportunistic networks. Ad Hoc Networks, 11(4), 1497–1509.CrossRef
25.
Li, P., Guo, S., Yu, S., & Vasilakos, A. V. (2014). Reliable multicast with pipelined network coding using opportunistic feeding and routing. IEEE Transactions on Parallel and Distributed Systems, 25(12), 3264–3273.CrossRef
26.
Liu, H., Zhang, B., Mouftah, H. T., Shen, X., & Ma, J. (2009). Opportunistic routing for wireless ad hoc and sensor networks: Present and future directions. Communications Magazine, IEEE, 47(12), 103–109.CrossRef
27.
Marti, S., Giuli, T. J., Lai, K., & Baker, M. (2000). Mitigating routing misbehavior in mobile ad hoc networks. In Proceedings of the 6th annual international conference on mobile computing and networking (pp. 255–265). ACM.
28.
Michiardi, P., & Molva, R. (2002). Core: A collaborative reputation mechanism to enforce node cooperation in mobile ad hoc networks. In B. Jerman-Blažič & T. Klobučar (Eds.), Advanced communications and multimedia security (pp. 107–121). New York: Springer.CrossRef
29.
Nguyen, H. A., & Giordano, S. (2009). Routing in opportunistic networks. International Journal of Ambient Computing and Intelligence (IJACI), 1(3), 19–38.CrossRef
30.
Pelusi, L., Passarella, A., & Conti, M. (2006). Opportunistic networking: data forwarding in disconnected mobile ad hoc networks. Communications Magazine, IEEE, 44(11), 134–141.CrossRef
31.
Rozner, E., Seshadri, J., Mehta, Y., & Qiu, L. (2009). Soar: Simple opportunistic adaptive routing protocol for wireless mesh networks. Mobile Computing, IEEE Transactions on, 8(12), 1622–1635.CrossRef
32.
Salehi, M., & Boukerche, A. (2014). Trust-aware opportunistic routing protocol for wireless networks. In Proceedings of the 10th ACM symposium on QoS and security for wireless and mobile networks (pp. 79–86). New York, NY, USA: ACM, Q2SWinet ’14.
33.
Salehi, M., & Samavati, H. (2012). Dsr vs olsr: Simulation based comparison of ad hoc reactive and proactive algorithms under the effect of new routing attacks. In 6th International conference on next generation mobile applications, services and technologies (NGMAST), 2012. (pp. 100–105). IEEE.
34.
Shafer, G., et al. (1976). A mathematical theory of evidence (Vol. 1). Princeton: Princeton University Press.MATH
35.
Wei, Z., Yu, F. R., & Boukerche, A. (2014). Trust based security enhancements for vehicular ad hocnetworks. In Proceedings of the fourth ACM international symposium on development and analysis of intelligent vehicular networks and applications (pp. 103–109). ACM.
36.
Yan, Z., Zhang, P., & Vasilakos, A. V. (2014). A survey on trust management for internet of things. Journal of Network and Computer Applications, 42, 120–134.CrossRef
37.
Yan, Z., Zhang, P., & Vasilakos, A. V. (2015). A security and trust framework for virtualized networks and software-defined networking. Security and Communication Networks. doi:10.​1002/​sec.​1243.
38.
Yang, S., Zhong, F., Yeo, C. K., Lee, B. S., & Boleng, J. (2009) Position based opportunistic routing for robust data delivery in manets. In Global telecommunications conference, 2009. GLOBECOM 2009. IEEE (pp. 1–6). IEEE.
39.
Yu, H., Shen, Z., Miao, C., Leung, C., & Niyato, D. (2010). A survey of trust and reputation management systems in wireless communications. Proceedings of the IEEE, 98(10), 1755–1772.CrossRef
40.
Zhang, J. (2011). A survey on trust management for vanets. In IEEE International conference on advanced information networking and applications (AINA), 2011. (pp. 105–112). IEEE.
41.
Zhong, Z., Wang, J., Nelakuditi, S., & Lu, G. H. (2006). On selection of candidates for opportunistic anypath forwarding. ACM SIGMOBILE Mobile Computing and Communications Review, 10(4), 1–2.CrossRef
Metadaten
Titel
Towards a novel trust-based opportunistic routing protocol for wireless networks
verfasst von
Mahmood Salehi
Azzedine Boukerche
Amir Darehshoorzadeh
Abdelhamid Mammeri
Publikationsdatum
01.04.2016
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 3/2016
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-015-1010-4

Weitere Artikel der Ausgabe 3/2016

Wireless Networks 3/2016 Zur Ausgabe

OriginalPaper

DirMove: direction of movement based routing in DTN architecture for post-disaster scenario

OriginalPaper

Joint optimization and threshold structure dynamic programming with enhanced priority scheme for adaptive VANET MAC

OriginalPaper

Cooperative primary–secondary dynamic spectrum leasing game via decentralized bargaining

OriginalPaper

Vehicle authentication via monolithically certified public key and attributes

OriginalPaper

Data gathering and offloading in delay tolerant mobile networks

OriginalPaper

Distributed probabilistic routing for sensor network lifetime optimization

Neuer Inhalt

    Bildnachweise