Wireless Sensor Network is a self configurable network with densely deployed sensor nodes. These sensor nodes cooperatively communicate each other and monitor the conditions of the physical environment and is restricted to bandwidth, memory, energy, etc. In Wireless Sensor Network, when an event is detected, the node senses and become active in gathering and data transmission, which cause congestion and results in a large number of packet drops, low throughputs, high energy consumption with a significant amount of wasted energy due to retransmission and increased delay. This paper presents the congestion prediction using probabilistic methods and congestion control using rate control. The rate controlling methods uses the allocation of rate mechanisms are namely rate regulation, rate reduction and split protocol to minimize packet drops, energy consumption of nodes and improve queue utilization, throughput. Each and every method has its own advantages and disadvantages. The SP has a limitation of packet delay while considering the neighbor nodes. To overcome the limitation, a route weight assignment method is proposed. The proposed method is implementing by using Ns2.

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A Route Weight Assignment Method for Predictive Congestion Control in WSN

Shaik Nasrin*, N. Sai Lohitha**
* Postgraduate, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, India.
** Assistant Professor, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, India.
Periodicity:July - September'2016
DOI : https://doi.org/10.26634/jwcn.5.2.8171

Abstract

Wireless Sensor Network is a self configurable network with densely deployed sensor nodes. These sensor nodes cooperatively communicate each other and monitor the conditions of the physical environment and is restricted to bandwidth, memory, energy, etc. In Wireless Sensor Network, when an event is detected, the node senses and become active in gathering and data transmission, which cause congestion and results in a large number of packet drops, low throughputs, high energy consumption with a significant amount of wasted energy due to retransmission and increased delay. This paper presents the congestion prediction using probabilistic methods and congestion control using rate control. The rate controlling methods uses the allocation of rate mechanisms are namely rate regulation, rate reduction and split protocol to minimize packet drops, energy consumption of nodes and improve queue utilization, throughput. Each and every method has its own advantages and disadvantages. The SP has a limitation of packet delay while considering the neighbor nodes. To overcome the limitation, a route weight assignment method is proposed. The proposed method is implementing by using Ns2.

Keywords

Wireless Sensor Network (WSN), Congestion Prediction, Congestion Control, Energy Efficient Routing

How to Cite this Article?

Nasrin, S., and Lohitha, N.S. (2016). A Route Weight Assignment Method for Predictive Congestion Control in WSN. i-manager's Journal on Wireless Communication Networks, 5(2), 17-23. https://doi.org/10.26634/jwcn.5.2.8171

References

[1]. Annie Uthra, and R., Kasmir Raja, S.V (2011). “PACC: probabilistic approach for congestion control in Wireless Sensor Network”. CiiT International Journal on Wireless Communications, Vol.3, No.14, pp.985-990.
[2]. Mohamed Ebada and Hussein Mouftah, (2011). “Traffic splitting protocol for muitipath routing in Wireless Sensor Networks”. IEEE GLOBECOM Workshops.
[3]. Wang, C., Sohraby, K., Lawrence, V., Li, B., and Hu. Y., (2006). “Priority-based congestion control in Wireless Sensor Networks”. Proc. of the IEEE Int. Conf. on Sensor Networks, Ubiquitous and Trustworthy Computing (SUTC'06).
[4]. Jenn-Yue, T., Ha, Y., Tham, & Chen-Khong, T., (2008). “ Inter ference-minimized multipath routing with congestion control in Wireless Sensor Network for high-rate streaming”. IEEE Trans. Mobile Comput., Vol.7, No.9, pp.1124-1137.
[5]. Zawodniok, M., and Jagannathan, S. (2007). “Predictive congestion control protocol for Wireless Sensor Networks”. IEEE Trans. Wirel. Commun, Vol.6, No.11, pp.3955-3963.
[6]. Ren, F., He, T., Das, S.K., and Lin, C. (2011). “Trafficaware dynamic routing to alleviate congestion in Wireless Sensor Networks”. IEEE Trans. Parallel Distrib. Syst, Vol.22, No.9, pp.1585-1599.
[7]. Wan, C.-Y., Eisenman, S.B., and Campbell, A.T. (2003). “CODA: Congestion Detection and Avoidance in Sensor Networks”. Proc. First ACM Conf. Embedded Networked Sensor Systems (SenSys '03), pp.266-279.
[8]. C. Wang, & B. Li, (2007). “Upstream Congestion Control in Wireless Sensor Networks Through Cross-Layer Optimization”. IEEE Journal on Selected Areas in Communications, Vol.25, No.4.
[9]. Xiaoyan Yin, Xingshe Zhou, et.al. (2009). “A Fairness- Aware Congestion Control Scheme in Wireless Sensor Networks”. IEEE Transactions on Vehicular Technology, Vol.58, No.9.
[10]. M.I. Khan, W.N. Gansterer, and G. Haring, (2007). “Congestion avoidance and energy efficient routing protocol for Wireless Sensor Networks with a mobile sink”. J. Netw., Vol.2, No.6, pp.42-49.
[11]. Y.-M. Liu & X.-H. Jiang, (2009). “An extended DCCP congestion control in Wireless Sensor Networks”. Int. Workshop Intell. Syst. Appl., pp.1-4.
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