Advertisement

Target-Controlled Packet Forecast and Communication in Wireless Multimedia Sensor Networks

  • S. Ambareesh
  • A. Neela Madheswari
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 808)

Abstract

The two main factors which are vital in present multimedia applications are Target-controlled packet forecast and communication. The degradation of Quality of Service (QoS) is because the packets miss their targets and become useless and are often dropped. As the consumption of real-time hypermedia applications and Internet of Things (IoT) has grown into more, multimedia data communication is a key cause to endorse the QoS of citizens. To accomplish the QoS prerequisite in Wireless Multimedia Sensor Networks (WMSNs) the mixture of multiple communication methods is stimulated for packet sending, counting Conventional Network Coding (CNC), Analog Network Coding (ANC), Plain Routing (PR) and Direct Broadcast (i.e., No-Relaying, NR). The combination and integration of communication methods lowers packet falling probability, but complicates the packet transferring and forecast process instead. Hence, an exhaustive search scheme is introduced to get the optimal forecast sequence and equivalent communication method for target constrained multimedia broadcasts in WMSNs. With respect to promote computing proficiency for the formulated problem, two heuristic methods based on Markov chain approximation and dynamic graph is proposed.

Keywords

Quality of service Target constrained packet scheduling and transmission Wireless multimedia sensor networks 

References

  1. 1.
    Shen, H., & Bai, G. (2016). Routing in wireless multimedia sensor networks: A survey and challenges ahead. Journal of Network and Computer Applications.Google Scholar
  2. 2.
    Ning, Z., Xia, F., Hu, X., Chen, Z., & Obaidat, M. (2016). Social-oriented adaptive transmission in opportunistic internet of smartphones, accepted. In IEEE Transactions on Industrial Informatics.Google Scholar
  3. 3.
    Kim, J., Barrado, J., & Jeon, D. (2015). An energy-efficient transmission scheme for real-time data in wireless sensor networks. Sensors.Google Scholar
  4. 4.
    Khalek, A., Caramanis, C., & Heath, R. (2015). Delay-constrained video transmission: Quality driven resource allocation and scheduling. In IEEE Journal of Selected Topics in Signal Processing.Google Scholar
  5. 5.
    Fortino, G., & Trunfio, P. (2014). Internet of things based on smart objects: Technology, middleware and applications. Springer.Google Scholar
  6. 6.
    Chen, H., Chan, H., Chan, C., & Leung, V. (2013). QoS-based cross-layer scheduling for wireless multimedia transmissions with adaptive modulation and coding. In IEEE Transactions on Communications.Google Scholar
  7. 7.
    Xiao, Y., Thulasiraman, K., Fang, X., Yang, D., & Xue, G. (2012). Computing a most probable delay constrained path: NP-hardness and approximation schemes. In IEEE Transactions on Computers, May 2012.Google Scholar
  8. 8.
    Mao, Z., Koksal, C., & Shroff, N. (2013). Online packet scheduling with hard deadlines in multi-hop communication networks. In Proceedings IEEE, April 2013.Google Scholar
  9. 9.
    Anbagi, I. S., Erol-Kantarci, M., & Mouftah, H. T. (2014). Delay-aware medium access schemes for WSN-based partial discharge measurement. In IEEE Transactions on Instrumentation and Measurement.Google Scholar
  10. 10.
    Ning, Z., Song, Q., Guo, L., Chen, Z., & Jamalipour, A. (2016). Integration of scheduling and network coding in multi-rate wireless mesh networks: Optimization models and algorithms. Ad Hoc Networks.Google Scholar
  11. 11.
    Mali, G., & Misra, S. (2016). TRAST: Trust-based distributed topology management for wireless multimedia sensor networks. In IEEE Transactions on Computers.Google Scholar
  12. 12.
    Ning, Z., Liu, L., & Xia, F. (2016). CAIS: A copy adjustable incentive scheme in community-based socially-aware networking. In IEEE Transactions on Vehicular Technology.Google Scholar
  13. 13.
    Li, X., Wang, C.-C., & Lin, X. (2011). On the capacity of immediately decodable coding schemes for wireless stored-video broadcast with hard deadline constraints. In IEEE Journal on Selected Areas in Communications, May 2011.Google Scholar
  14. 14.
    Yeow, W.-L., Hoang, A. T., & Tham, C.-K. (2009). Minimizing delay for multicast-streaming in wireless networks with network coding. In INFOCOM, IEEE, April 2009.Google Scholar
  15. 15.
    Katti, S., Gollakota, S., & Katabi, D. (2007, October). Embracing wireless interference: Analog network coding. ACM SIGCOMM Computer Communication Review.Google Scholar
  16. 16.
    Zhan, C., & Xu, Y. (2010). Broadcast scheduling based on network coding in time critical wireless networks. In IEEE International Symposium on Network Coding (NetCod), June 2010.Google Scholar
  17. 17.
    Wang, X., Yuen, C., & Xu, Y. (2012). Joint rate selection and wireless network coding for time critical applications. In Wireless Communications and Networking Conference (WCNC), IEEE, April 2012.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.CSEAnna UniversityChennaiIndia
  2. 2.CSEMahendra Engineering CollegeMallasamudramIndia

Personalised recommendations