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A Hierarchical Framework for Estimating the Performance of an Aerial Network

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Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST,volume 223)


Dynamic networks such as airborne networks are characterized by fast changing topologies. Such networks require efficient strategies for estimating performance measures towards mission-specific objectives. Performance measures defined over a network will help choose optimal routes for information sharing between a pair of nodes.

This article presents a model and approach to estimate the performance of a dynamic network. First, it introduces goodness measures at three levels of hierarchy - link, path, and network, in terms of primitive metrics such as reliability, throughput, and latency. Second, it presents a strategy to estimate these goodness measures. The strategy is illustrated by applying it to find an optimal path between a pair of nodes in a network. Results presented on five benchmark networks illustrate the value of the proposed model.


  • Aerial network
  • Adhoc network
  • Reliability
  • Throughput
  • Latency
  • Goodness measures
  • Configuration graph

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  • DOI: 10.1007/978-3-319-74439-1_11
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  1. Sterbenz, J.P.G., Çetinkaya, E.K., Hameed, M.A., Jabbar, A., Qian, S., Rohrer, J.P.: Evaluation of network resilience, survivability, and disruption tolerance: analysis, topology generation, simulation, and experimentation. Telecommun. Syst. 52(2), 705–736 (2013)

    Google Scholar 

  2. Çetinkaya, E.K., Broyles, D., Dandekar, A., Srinivasan, S., Sterbenz, J.P.G.: Modelling communication network challenges for future internet resilience, survivability, and disruption tolerance: a simulation-based approach. Telecommun. Syst. 52(2), 751–766 (2013)

    Google Scholar 

  3. Sterbenz, J.P.G., Hutchison, D., Çetinkaya, E.K., Jabbar, A., Rohrer, J.P., Schller, M., Smith, P.: Redundancy, diversity, and connectivity to achieve multilevel network resilience, survivability, and disruption tolerance invited paper. Telecommun. Syst. 56(1), 17–31 (2014)

    CrossRef  Google Scholar 

  4. Bhattacharya, A., Kumar, A.: A shortest path tree based algorithm for relay placement in a wireless sensor network and its performance analysis. Comput. Netw. 71, 48–62 (2014)

    CrossRef  Google Scholar 

  5. Sbeiti, M., Goddemeier, N., Behnke, D., Wietfeld, C.: PASER: secure and efficient routing approach for airborne mesh networks. IEEE Trans. Wirel. Commun. 15(3), 1950–1964 (2016)

    CrossRef  Google Scholar 

  6. Saleem, Y., Rehmani, M.H., Zeadally, S.: Integration of cognitive radio technology with unmanned aerial vehicles: issues, opportunities, and future research challenges. J. Netw. Comput. Appl. 50, 15–31 (2015)

    CrossRef  Google Scholar 

  7. Newton, B., Aikat, J., Jeffay, K.: Analysis of topology algorithms for commercial airborne networks. In: 2014 IEEE 22nd International Conference on Network Protocols (ICNP), pp. 368–373. IEEE (2014)

    Google Scholar 

  8. Cheng, B.-N., Charland, R., Christensen, P., Veytser, L., Wheeler, J.: Evaluation of a multihop airborne IP backbone with heterogeneous radio technologies. IEEE Trans. Mobile Comput. 13(2), 299–310 (2014)

    CrossRef  Google Scholar 

  9. Sparrow, R.D., Adekunle, A.A., Berry, R.J., Farnish, R.J.: Balancing throughput and latency for an aerial robot over a wireless secure communication link. In: 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF), pp. 184–189. IEEE (2015)

    Google Scholar 

  10. Vaze, R.: Throughput-delay-reliability tradeoff in ad hoc networks. In: 2010 Proceedings of the 8th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt), pp. 459–464. IEEE (2010)

    Google Scholar 

  11. Akbar, M.S., Yu, H., Cang, S.: Delay, reliability, and throughput based QOS profile: a MAC layer performance optimization mechanism for biomedical applications in wireless body area sensor networks. J. Sens. 2016, 17 (2016)

    CrossRef  Google Scholar 

  12. Srinivasa, S., Haenggi, M.: Throughput-delay-reliability tradeoffs in multihop networks with random access. In: 2010 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp. 1117–1124. IEEE (2010)

    Google Scholar 

  13. Caleffi, M., Ferraiuolo, G., Paura, L.: A reliability-based framework for multi-path routing analysis in mobile ad-hoc networks. Int. J. Commun. Netw. Distrib. Syst. 1(4–6), 507–523 (2008)

    CrossRef  Google Scholar 

  14. Benaddy, M., Wakrim, M.: Cutset enumerating and network reliability computing by a new recursive algorithm and inclusion exclusion principle. Int. J. Comput. Appl. 45, 22–25 (2012)

    Google Scholar 

  15. Lee, K., Lee, H.-W., Modiano, E.: Reliability in layered networks with random link failures. IEEE/ACM Trans. Netw. (TON) 19(6), 1835–1848 (2011)

    CrossRef  Google Scholar 

  16. Elias, P., Feinstein, A., Shannon, C.: A note on the maximum flow through a network. IRE Trans. Inf. Theory 2(4), 117–119 (1956)

    CrossRef  Google Scholar 

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This research work was initially carried out at the Air Force Research Laboratory, Rome, NY, USA, as part of the visiting faculty research program during the summer 2016. It was continued at the University of North Texas with the support from the National Science Foundation through the smart and connected communities program, grant No. 1622978.

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Correspondence to Kamesh Namuduri .

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Namuduri, K., Soomro, A., Gottapu, S.K. (2018). A Hierarchical Framework for Estimating the Performance of an Aerial Network. In: Zhou, Y., Kunz, T. (eds) Ad Hoc Networks. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 223. Springer, Cham.

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  • Print ISBN: 978-3-319-74438-4

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