Dynamic alternate buffer switching and congestion control in wireless multimedia sensor networks
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Dynamic alternate buffer switching and congestion control in wireless multimedia sensor networks K. Sumathi 1 & P. Pandiaraja 1 Received: 3 June 2019 / Accepted: 2 August 2019 # Springer Science+Business Media, LLC, part of Springer Nature 2019
Abstract Normally sensor nodes are located at unattended environment which has low battery power. The wireless hypermedia sensor based networks have huge capacity and continuous flow of data from source to sink. Congestion arises at the time of incoming data is greater than available resources. The congestion causes packet loss, buffer over flow, energy wastage and increases end to end delay. The proposed method Dynamic Alternate Buffer switching and Congestion Control is used to manage congestion in an efficient manner. In which congestion is detected based on remaining buffer, remaining energy and trust level of the sensor nodes. This approach is based on cost evaluation method which decides primary and spare buffers at run time. This method is used to enable dynamic buffer switching and optimize the effect of congestion. The performance of BETCC compared with various existing protocol like TCEER and TFCC in terms of energy consumption and data loss ratio. Keywords WMSN . Sensor nodes . Congestion . Buffer switching . Congestion detection . Congestion control
1 Introduction The node points in wireless sensor based network (WSN) are organized in hostile environment and the nodes have ability to sense physical phenomena [1]. The sensor nodes have low battery power and its physical area has no source to renew its power source. So need an energy efficient protocol design through which improves the life time of the network. Recently the sensor networks have many applications like health monitoring, environmental monitoring, and industry automation etc. Some of the application such as Wireless Multimedia Sensor Network (WMSN) requires large amount of data transmission as well as continuous flow of data from the source to the sink [2]. Large amount of data and continuous flows required more resources than the available hence congestion arises in the network [3]. The congestion causes packet loss, queuing delay and increase This article is part of the Topical Collection: Special Issue on AI-based Future Intelligent Internet of Things Guest Editors: Kelvin K.L. Wong, Quan Zou, and Pourya Shamsolmoali * K. Sumathi [email protected] P. Pandiaraja [email protected] 1
Department of Computer science and Engineering, M. Kumarasamy College of Engineering, Karur 639113, India
network overhead. Managing these circumstances in a smooth manner congestion control is very important task [4]. There are two methods are used to control the congestion in the network such as reduce the traffic rate and effective resource management. The proposed protocol DABCC is a universal communication model for handling both large as well as continuous flow of data from the source to sink. This protocol is depends on the remaining energy, remaining buffer and trust level of the sensor node. This
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