Efficient data aggregation methodology for Wireless Sensor Network

Waghmare, Kamlesh A.; Chatur, P. N.; Mathurkar, S. S.

doi:10.1109/wispnet.2016.7566107

Cited by 6 publications

(2 citation statements)

References 7 publications

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“…A single-hop clustering method, in that sensor nodes are formed into clusters also transmit with a destination via a single hop. This approach established on the autoregressive, affecting usual, as well as tempered least mean square examples to forecast local perceived samples so as to decrease wireless data transaction [Waghmare et al, 2016]. EE structure-free data aggregation and delivery approach that collects the repeated information in the middle nodes.…”

Section: Related Workmentioning

confidence: 99%

Reliable Data Collector Based Efficient Data Collection for Improving Energy Efficiency in WSN

Vishnupriya¹,

Ramachandran²

2021

INDJCSE

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Wireless Sensor Network (WSN) is efficient for data collection and communication. Generally, sensor nodes observed the data has amount of noises otherwise duplicate presents, hence, the data are collected to take out significant information also diminish the communication expenditure. In this paper, an Reliable Data Collector based Efficient Data Collection for Improving Energy Efficiency in WSN (REDC) for Improving Energy Efficiency (EE) that powerfully minimizes duplicate as well as incorrect data. A Bio-Inspired Method (BIM) is used for selecting reliable data collector in the WSN. The BIM method like Ant Colony Optimization (ACO) technique achieves an efficient path leading to the most reputed node in a WSN. Bivariate polynomials key verification is used for verifies the reliable collector. Active list will be generated in filtering node to accumulate history messages yet communicated through this node. The entire messages will be estimated whether repeated duplicated or not along with the messages in list. Simulation results illustrates this approach increases the data accuracy ratio and EE in the network.

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Section: Related Workmentioning

confidence: 99%

Reliable Data Collector Based Efficient Data Collection for Improving Energy Efficiency in WSN

Vishnupriya¹,

Ramachandran²

2021

INDJCSE

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“…Congestion problem comes under transport layer, which is responsible for end to end network connection. This layer must allocate the fair bandwidth, control the data flow using reliable connection link and retransmits dropped packets in an energy efficient manner (Liang and Li 2011;Waghmare et al 2016;Han et al 2017). There exist many strategies for controlling congestion like slow start, congestion avoidance, fast retransmission and fast resumption, which are not appropriate for today's huge network.…”

Section: Introductionmentioning

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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