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IJSTR >> Volume 2- Issue 2, February 2013 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

A Scrutiny On Congestion Control Algorithms

[Full Text]



Immanuel Gem, Arul Xavier



INDEX TERMS: - sensor networks, limiting rate, potential field, performance, traffic aware, overheads.



SYNOPSIS: - Wireless Sensor network is the keynote to meet the evidence indispensable by smart surroundings, whether in buildings, niftiness, engineering, domicile, shipboard, transportation systems automation, or elsewhere. Contemporary terrorist and guerrilla conflict countermeasures entail strewn networks of sensors that can be deployed and have self-organizing proficiency. In such applications, scuttle wires or cabling is generally not viable. A feeler set-up is essential that is swift and trouble-free to install and sustain. The imperative concern in wireless sensor scheme is the broadcast of messages to pull off an agreed message data and Quality of Services. QoS can be precise in terms of message delay, message due dates, bit blunder rates, packet crash, economic cost of transmission, broadcast power, etc. In this paper we surf through some of the congestion alleviation algorithm that assist the network in training the quality of services and the techniques that's been used assuage congestion



[1]. Basu.A, Lin.A, and Ramanathan.S(2003),“Routing Using Potentials DynamicTraffic-Aware Routing Algorithm,” Proc. ACM SIGCOMM, pp. 37-48.

[2]. Chen.S and Yang.N(2006),“Congestion Avoidance Based on Lightweight Buffer Management in Sensor Networks,” IEEE Trans. Parallel and Distributed Systems, vol. 17, no. 9, pp. 934-946.

[3]. Ee.C and Bajcsy.R(2004), “Congestion Control and Fairness for Many to One Routing in Sensor Networks,” Proc. ACM Int’l Conf. Embedded Networked Sensor Systems .

[4]. He .T, Stankovic .J, Lu. C, and Abdelzaher .T(2003),“SPEED: A Stateless Protocol for Real-Time Communication in Sensor Networks, ”Proc. IEEE Int’l Conf. Distributed Computing Systems.

[5]. Hull .B, Jamieson .K, and Balakrishnan .H (2004), “Mitigating Congestion in Wireless Sensor Networks,” Proc. Int’l Conf. Embedded Networked Sensor Systems.

[6]. Jain. R (1995),“Congestion Control and Traffic Management in ATM Networks: Recent Advances and a Survey,” Computer Networks and ISDN Systems, vol. 28, no. 13, pp. 1723-1738.

[7]. Kang. J, Nath. B, Zhang. Y and Yu. S(2004), “Adaptive Resource Control Scheme to Alleviate Congestion in Sensor Networks,” Proc. First Workshop Broadband Advanced Sensor Networks.

[8]. Kumar.R, R. Crepaldi.R, Rowaihy.H(June 2008), “Mitigating Performance Degradation in Congested Sensor Networks,” IEEE Trans. Mobile Computing, vol. 7, no. 6, pp. 682-697.

[9]. Paek.J and Govindan.R((SenSys ’07)2007), “RCRT: Rate-Controlled Reliable Transport for Wireless Sensor Networks,” Proc. ACM Int’l Conf. Embedded Networked Sensor Systems.

[10]. Papadoulos.A and MccannJ.A(2004), “Towards the Design of an Energy-Efficient, Location-Aware Routing Protocol for Mobile, Ad-Hoc Sensor Networks,” Proc. 15th Int’l Workshop Database and Expert Systems Applications, pp. 705-709.

[11]. Patwari.N, Perkins.M, Correal.N(Aug. 2003), “Relative Location Estimation in Wireless Sensor Networks,” IEEE Trans. Signal Processing, vol. 51, no. 8, pp. 2137-2148.

[12]. Pham P.P and Perreau.P(2003), “Performance Analysis of Reactive Shortest Path and Multipath Routing Mechanism with Load Balance,” Proc. IEEE INFOCOM.

[13]. Popa.L, Raiciu.C, Stoica.I, and Rosenblum. D.S((ICNP’06).2006), “Reducing Congestion Effects in Wireless Networks by Multipath Routing,” Proc. IEEE Int’l Conf. Network Protocols .

[14]. Rangwala.S, Gummadi.R, Govindan.R, and Psounis.K(2006), “Interference-Aware Fair Rate Control in Wireless Sensor Networks,” Proc. ACM SIGCOMM, pp. 63-74.

[15]. Sankarasubramaniam. Y, Akan. O, and Akyildiz. I ((MobiHoc ’03), 2003), “ESRT: Eventto- Sink Reliable Transport in Wireless Sensor Networks,” Proc. ACM Int’l Symp. Mobile Ad Hoc Networking and Computing.

[16]. Teo.J, Ha.Y, and Tham.C(Sept. 2008), “Interference-Minimized Multipath Routing with Congestion Control in Wireless Sensor Network for High-Rate Streaming,” IEEE Trans. Mobile Computing, vol. 7, no. 9, pp. 1124-1137.

[17]. Wan. C, Eisenman. S, Campbell. A, and Crowcroft. J (SenSys 2005), “Siphon: Over-Load Traffic Management Using Multi-Radio Virtual Sinks in Sensor Networks,” Proc. ACM Int’l Conf. Embedded Networked Sensor Systems, pp. 116-129.

[18]. Wan C. Y, Eisenman. S. B, and. Campbell. A. T (2003), “CODA: Congestion Detection and Avoidance in Sensor Networks,” Proc. ACM Int’l Conf. Embedded sNetworked Sensor Systems (SenSys ’03), pp. 266-279.

[19]. Yaghmaee.M.H and D.A. Adjeroh.D.A(2009), “Priority-Based Rate Control for Service Differentiation and Congestion Control in Wireless Multimedia Sensor Networks,” Computer Networks, vol. 53, no. 11, pp. 1798-1811.