An Energy Efficient Node Scheduling based Congestion Control Scheme for WSN Multicasting

被引：0

作者：

Raja Vikram G. ^{[1
]}

Shahu Chatrapati K. ^{[2
]}

Krishna A.V.N. ^{[3
]}

机构：

[1] Department of CSE, Vignan Institute of Technology & Science, Hyderabad, Telangana

[2] Department of CSE, J.N.T.U.H College of Engineering, Manthani, Telangana

[3] Department of CSE, CHRIST (Deemed to be University), Bangalore, Karnataka

来源：

EAI Endorsed Transactions on Energy Web | 2020年 / 2020卷 / 30期

关键词：

Congestion Control; Energy Efficiency; Node Scheduling; Wireless Sensor Network; WSN Multicast;

D O I：

10.4108/eai.13-7-2018.164178

中图分类号：

学科分类号：

摘要：

Wireless Sensor Network (WSN) is the most preferred technology for communication in resource constrained environments. They offer high-quality data propagation with limited delay. Sensor Network can be established with the help of self-configurable nodes to monitor various physical phenomenon. Multicasting in WSN results in low communication control overhead but may lead to congestion, which results in data loss, redundant transmissions, poor throughput and reduced network lifetime. In this paper, we propose a protocol to estimate the Degree of Congestion (CD) at each node to ensure load balance and avoid further congestion within the network. It is demonstrated that the proposed scheme is better compared with existing congestion control schemes in terms of end-to-end delay and energy efficiency. © 2020 G. Raja Vikram et al., licensed to EAI

引用

页码：1 / 6

页数：5

共 20 条

[1]

Rekha, Gomathy C., Sebastian S.K., Pushparaj K., andMon V.B., A Survey on congestion control inwireless sensor networks, International Journal ofComputer Science & Communication, 1, 1, pp. 161-164, (2010)

[2]

Kaur J., Grewal R., Saini K. S., A surveyon recent congestion control schemes in wireless sensornetwork, 2015 IEEE International Advance ComputingConference (IACC), pp. 387-392, (2015)

[3]

Flora D. J., Kavitha V., Muthuselvi M., Asurvey on congestion control techniques in wireless sensornetworks, 2011 International Conference on EmergingTrends in Electrical and Computer Technology, pp. 1146-1149, (2011)

[4]

Rathod H. M., Buddhadev B. V., Comparative study of congestion control techniques forwireless sensor network, 2011 Nirma UniversityInternational Conference on Engineering, pp. 1-5, (2011)

[5]

He T., Ren F., Lin C., Das S., Alleviatingcongestion using traffic-aware dynamic routing in wirelesssensor networks, 2008 5th Annual IEEE CommunicationsSociety Conference on Sensor, Mesh and Ad HocCommunications and Networks, pp. 233-241, (2008)

[6]

Vuran M. C., Akyildiz I. F., XLP: A cross-layerprotocol for efficient communication in wireless sensornetworks, IEEE transactions on mobile computing, 9, 11, pp. 1578-1591, (2010)

[7]

Lee D., Chung K., Adaptive duty-cycle basedcongestion control for home automation networks, IEEETransactions on Consumer Electronics, 56, 1, pp. 42-47, (2010)

[8]

Shi K., Shu Y., Yang O., Luo J., Receiver-assisted congestion control to achieve high throughput inlossy wireless networks, IEEE Transactions on nuclearscience, 57, 2, pp. 491-496, (2010)

[9]

Misra S., Tiwari V., Obaidat M. S., LACAS:learning automata-based congestion avoidance scheme forhealthcare wireless sensor networks, IEEE Journal onSelected Areas in Communications, 27, 4, pp. 466-479, (2009)

[10]

Kaur M., Verma V., Malik A., AComparative Analysis of Various Congestion ControlSchemes in Wireless Sensor Networks, 2018 8thInternational Conference on Cloud Computing, Data Science& Engineering (Confluence), pp. 14-15, (2018)

← 1 2 →