Abstract
In ad hoc networks, balancing overall delay among multiple flows with different priorities is a major challenge. Normally, packets having higher priority are scheduled to dispatch first than the packets having lower priority. However, priority is calculated by considering the weights of either application or region. As a result, flows with lower priority reach to the destination after a long delay or dropped because of starvation. So an efficient mechanism must be framed for achieving delay bounded service in heterogeneous applications of ad hoc network. In this paper, we propose an integrated priority measurement technique for minimize overall delay among multiple flows. The proposed model uses the elapsed time as a measure factor to calculate priority. The packets suffered a larger as well as less delay are assigned a lower priority as they are either less important at sink node or can be delayed to reach at destination within time bound. Performance evaluation of this protocol moderates the end to end latency to the flows having lower priority.
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References
Rathnayaka, A.J.D., Potdar, V.M.: Wireless sensor network transport protocol: a critical review. J. Netw. Comput. Appl. (2013)
Ganesh, P., Chockalingam, S.: A collection of open research problems in rate based transport protocols for multihop ad hoc wireless network. In: IEEE-International Conference on Advances in Engineering, Science and Management (2012)
Francisco, J., Chai, K., Cano, J., et al.: A survey and comparative study of simulators for vehicular ad hoc networks (VANETs). Wireless Commun. Mob. Comput. 11(7), 813–828 (2011)
Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: Wireless sensor networks: a survey. IEEE Commun. Mag. (2002)
Liaojun, P., Huixian, L., Qingqi, P., Nengbin, L., Yumin, W.: Fair data collection scheme in wireless sensor networks. Commun. Soft. (2013)
Chen, Z., Yang, G., Chen, L., et al.: Data aggregation scheduling with guaranteed lifetime and efficient latency in wireless sensor networks. China Commun. 9(9), 11–21 (2012)
Hamid, M.A., Alam, M.M., Isiam, M., et al.: Enforcing fairness for data collection in wireless sensor networks. In: Proceedings of the 8th Annual Communication Networks and Services Research Conference, 11–14 May 2010, pp. 192-198. Montreal, QC, Canada, IEEE press (2010)
Hamid, M.A., Alam, M.M., Isiam, M., et al.: Fair data collection in wireless sensor networks. Anal. Protoc. Ann. Telecommun. 65(7), 433–446 (2010)
Wakuda, K., Kasahara, S., Takahashi, Y., Kure, Y., Itakura, E.: A packet scheduling algorithm for max-min fairness in multihop wireless LANs. Comput. Commun. (2009)
Sridharan, A., Krishnamachari, B.: Maximizing network utilization with max-min fairness in wireless sensor networks. Wireless Netw. 15(5), 585–600 (2009)
Gungor, V.C., Akan, O.B., Akyildiz, I.F.: A real-time and reliable transport (RT2) protocol for wireless sensor and actor networks. IEEE/ACM Trans. Netw. (2008)
Rangwala, S., Gummadi, R., Govindan, R., et al: Interference-aware fair rate control in wireless sensor networks. In: Proceedings of the ACM Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications, pp. 63–74 (2006)
Wang, C., Sohraby, K., Lawrence, V., Li, B., Hu, Y.: Priority-based congestion control in wireless sensor networks. In: Proceedings of the IEEE Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (2006)
Yuan, X., Duan, Z.: Fair round robin: a low complexity packet scheduler with proportional and worst-case fairness (2006)
Iyer, Y.G., Gandham, S., Venkatesan, S.: STCP: A generic transport layer protocol for wireless sensor networks. In: Proceedings of the 14th IEEE International Conference on Computer Communications and Networks (2005)
Ee, C.T., Bajcsy, R.: Congestion control and fairness for many-to-one routing in sensor networks. In: Proceedings of the 2nd International Conference on Embedded Networked Association for Computing Machinery Sensor Systems (2004)
Ramabhadran, S., Pasquale, J.: Stratified round robin: a low complexity packet scheduler with bandwidth fairness and bounded delay (2003)
Monowar, M., Rahman, O., Pathan, A.K., Hong, C.S.: Prioritized heterogeneous traffic-oriented congestion control protocol for WSNs. Int. Arab J. Inf. Technol. (2012)
Mishra, T.K., Tripathi, S.: Fair and reliable transmission control protocol for ad hoc networks. In: International Conference on Advances in Computing and Communications (2014)
NS-2. http://www.isi.edu/nsnam/ns, NS-2.35. Accessed 4 Nov 2011
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Mishra, T.K., Tripathi, S. (2016). Node Application and Time Based Fairness in Ad-Hoc Networks: An Integrated Approach. In: Nagar, A., Mohapatra, D., Chaki, N. (eds) Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics. Smart Innovation, Systems and Technologies, vol 44. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2529-4_24
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DOI: https://doi.org/10.1007/978-81-322-2529-4_24
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