Energy Efficient Congestion Control in Wireless Sensor Network

Uthra, R. Annie; Raja, S. V. Kasmir

doi:10.1007/978-3-319-01778-5_34

Cited by 7 publications

(5 citation statements)

References 16 publications

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“…The Routing Optimization mechanism of congestion control works on Clustering and multipath data forwarding. The traffic load is evenly distributed (Aslam et al 2012;Uthra and Raja 2014;Gholipour et al 2015) among all the nodes to alleviate the congestion. This mechanisms results in increasing throughput and decreasing the transmission delay.…”

Section: Centralized Strategy For Congestion Controlmentioning

confidence: 99%

Mitigating congestion in wireless sensor networks through clustering and queue assistance: a survey

Yadav

Ujjwal

2020

J Intell Manuf

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A network of randomly deployed sensor nodes which shares limited resources like bandwidth, buffer, queue, and battery powered nodes is known as wireless sensor network. Such network must have energy, to avoid the chances of congestion because congested network degrades the performance of network. Congestion may occur due to several reasons like data packet collision, transmission channel contention and buffer overflow. A congestion control protocol must acquire the functionalities that can increase the lifetime and efficiency of network which are major responsibilities of wireless sensor network. In this paper traffic oriented, resource oriented and a hybrid approach with some additional functionalities of controlling congestion are discussed in a wide manner. The hybrid approach is best as per this survey as it integrates various factors of wireless sensor networks to control and mitigate the situation. A comprehensive analysis is also done on these factors to justify the nature of different approaches.

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Section: Centralized Strategy For Congestion Controlmentioning

confidence: 99%

Mitigating congestion in wireless sensor networks through clustering and queue assistance: a survey

Yadav

Ujjwal

2020

J Intell Manuf

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“…It consists of three primary phases namely detection (Chen & Yang, 2006), notification (Wan et al, 2011), and control (Yin, 2009). and therefore energy is considered to be one of the major performance metrics during congestion detection (Uthra & Raja, 2014). Much research has been done towards the enhancement of energy conservation to prevent packet collision and congestion (Wang et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Fuzzy based congestion detection and control algorithm for energy efficient wireless sensor network (WSN)

Rajeswari¹,

Ganapathy

Kulothungan

et al. 2022

J. Natn. Sci. Foundation Sri Lanka

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A wireless sensor network (WSN) is built by numerous tiny, resource aware sensor nodes to facilitate and develop various fields such as the military, health care, disaster management etc. One of the major design issues in WSN is congestion detection and control. Data collision, channel contention, and buffer overflow are considered to be a few important factors that may lead to a congestion problem. Congestion causes increase in packet drop rate and thus network efficiency is decreased. Hence, the network performance and quality of service may be degraded. Therefore congestion detection and control are vital and critical challenges to be addressed. In this paper, a novel energy efficient fuzzy based congestion detection and control algorithm (EE-FBCDCA) has been proposed with the objective of addressing the energy aware congestion detection and control mechanism. The proposed work consists of three phases, namely, 1) Fuzzy inference system based congestion detection, 2) Congestion notification phase and 3) Fuzzy inference system based congestion control. In this work, once the congestion is detected and upon receiving the notification message, the intermediate nodes will adjust their respective transmission rate to prevent further drop of packets. Thus, EE-FBCDCA detects and control the congestion more effectively to improve the QoS of the network. The proposed work is implemented and analysed by using MATLAB, and the performance is compared with the existing HTCCFL and FBACC. The simulation results of EE-FBCDCA shows enhanced network lifetime, energy efficiency, and reliability.

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“…Since a large amount of multimedia data can be transferred over wireless multimedia sensor networks, congestion situations occur frequently due to bandwidth limitations. Congestion situations could result in packet loss and data quality degradation, therefore eventually causing the failure of environment monitoring [11,12,13,28,29,36,37,38]. In addition, continuous packet retransmissions are attempted over congestion situations, which reduce the overall network lifetime.…”

Section: Introductionmentioning

confidence: 99%

Multimedia congestion control in wireless sensor networks

et al. 2015

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In this paper, we propose a new congestion control scheme to minimize data loss and maintain data quality in wireless multimedia sensor networks. The proposed scheme extracts and transfers dynamic regions by considering monitoring characteristics over multimedia sensor network environments to reduce the transferred data. Furthermore, it can reduce the packet size by deleting and transferring low-priority bit data by considering multimedia data characteristics during congestion situations to minimize packet loss. To show the superiority of the proposed scheme, we compare it with the existing congestion control schemes through simulation.

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Energy Efficient Congestion Control in Wireless Sensor Network

Cited by 7 publications

References 16 publications

Mitigating congestion in wireless sensor networks through clustering and queue assistance: a survey

Mitigating congestion in wireless sensor networks through clustering and queue assistance: a survey

Fuzzy based congestion detection and control algorithm for energy efficient wireless sensor network (WSN)

Multimedia congestion control in wireless sensor networks

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