Abstract
In traditional wire networks and wireless networks (e.g. WLAN, Cellular mobile network), optimal frame length is calculated according to the maximum data throughput, and adopted by every nodes in the network. But it is not suitable for Wireless Multimedia Sensor Network (WMSN), which mostly concerns effective utilization of limited energy instead of data throughput, and the nodes in the WMSN may have a very different channel environment. By adopting new benefit model in this paper the issue of optimal frame length is explored and an algorithm named OFLA is presented to achieve approximate optimal value. The one contributions of this article is a new benefit model of frame length in WSMN has been proposed. Another is with the new model and the algorithm, each node in WMSN can bring out the optimal frame length independently to compose the packets for the longest life-span of WMSN.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
The receive energy consumption and receive bytes, and the numbers of nodes participate in receive are in the approximately linear relationship, so it can be discussed like transmission energy consumption, it will be studied in another paper because of the limited space.
References
Akyildiz, I.F., Su, W., Sankarasubramaniam, Y.: Wireless sensor networks: a survey. Comput. Netw. 38(4), 393–422 (2002)
Khan, J.A., Qureshi, H.K., Iqbal, A.: Energy management in wireless sensor networks: a survey. Comput. Electr. Eng. 41(C), 159–186 (2015)
Li, J., Li, J., Shi, S.: The concept problem and research progress of sensor network and perception data management. J. Softw. 14(10), 1818–1827 (2003)
Adam, S., Rebecca, B., Jun, Y.: Constraint-chaining: on energy-efficient continuous monitoring in sensor networks. In: Proceedings of the 2006 ACM SIGMOD International Conference on Management of Data, pp. 157–168. ACM press (2006)
Hadzi-Velkov, Z., Spasenovski, B.: Saturation throughput-delay analysis of IEEE 802.11 DCF in fading channel. In: IEEE International Conference on Communications, vol. 1, pp. 121–126. IEEE (2010)
Spragins, J.D., Hammond, J.L., Pawlikowski, K.: Telecommunications: Protocols and Design. Addison Wesley Publishing Company Inc., Boston (1991)
Hamid, A., Fikri, A.H.: Wireless multimedia sensor network. In: Proceedings of the 2009 IEEE International Conference on Communications, pp. 1–5. IEEE Press (2011)
Sarraf, M.: Optimum Packet Length in a Fadin Channel Environment Along with Random Bit Errors an Finite Buffer Size, AT&T Technical Memorandum, No. 140360000 (1991)
Lettieri, P., Srivastava, M.B.: Adaptive frame length control for improving wireless link throughput, range, and energy efficiency. In: IEEE INFOCOM, pp. 564–571 (1998)
Khelil, A.A.: Comparative effectiveness evaluation of map construction protocols in wireless sensor networks. IEEE Syst. J. 8(3), 708–716 (2014)
Bakshi, B.S., Krishna, P., Vaidya, N.H.: Improving performance of TCP over wireless networks. In: Proceedings of the 18th International Conference on Distributed Computing Systems, pp. 365–373 (1997)
Hadzi, V.Z., Spase, N.B.: Saturation throughput-delay analysis of IEEE 802.11 DCF in fading channel. In: IEEE ICC 2003, pp. 121–126 (2003)
Lettieri, P., Fragouli, C., Srivastava, M.: Low power error control for wireless links. In: Proceedings of the Third ACM/IEEE International Conference on Mobile Computing and Networking (1997)
Singh, J., Pesch, D.: Smart error-control strategy for low-power communication in wireless networked control system. Telecommun. Syst. 55(2), 253–269 (2014)
Dong, X.J., Varaiya, P.: Saturation throughput analysis of IEEE 802.11 wireless LAN for a lossy channel. IEEE Commun. Lett. 9(2), 100–102 (2005)
Chien, C., Jain, R., Lettieri, P.: Adaptive radio for multimedia wireless links. IEEE J. Sel. Areas Commun. 18(5), 793–813 (1999)
Phan, V., Glisic, S.: MAC Layer packet-length adaptive CLSP/DS-CDMA radio networks: performance in flat rayleigh fading channel. In: IEEE ISCC 2002, Taormina, Italy, pp. 161–166 (2002)
Xi, Y., Wei, J.: The optimal frame length analysis and channel adaptive strategy for error channel. J. Commun. 27(5), 84–89 (2006)
Cheng, Y., Zhang, Y., Gao, X.: the probabilistic analysis of packet loss of wireless LAN in error channel. J. Commun. 28(5), 126–131 (2007)
Liu, Y., Seet, B.C.: Optimal network structuring for large-scale WMSN with virtual broker based publish/subscribe. In: Recent Trends in Telecommunications Research, pp. 1–5. IEEE (2018)
Poojary, S., Pai, M.M.M: Multipath data transfer in wireless multimedia sensor. In: Network International Conference on Broadband, Wireless Computing, Communication and Applications, pp. 379–383. IEEE Computer Society (2010)
Mohajerzadeh, A.H., Yaghmaee, M.H., Toroghi, N.N.: Routing protocols for wireless multimedia sensor network: a survey. J. Sens. 2013(1), 1–11 (2013)
Zuo, Z., Lu, Q., Luo, W.: A two-hop clustered image transmission scheme for maximizing network lifetime in wireless multimedia sensor networks. Comput. Commun. 35(1), 100–108 (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Wang, Y., Hong, Y., Qiao, Z., Zhang, B. (2018). Inconsistent Selection of Optimal Frame Length in WMSN. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11063. Springer, Cham. https://doi.org/10.1007/978-3-030-00006-6_51
Download citation
DOI: https://doi.org/10.1007/978-3-030-00006-6_51
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-00005-9
Online ISBN: 978-3-030-00006-6
eBook Packages: Computer ScienceComputer Science (R0)