Novel framework of retaining maximum data quality and energy efficiency in reconfigurable wireless sensor network

Abstract

There are various unseen and unpredictable networking states in Wireless Sensor Network (WSN) that adversely affect the aggregated data quality. After reviewing the existing approaches of data quality in WSN, it was found that the solutions are quite symptomatic and they are applicable only in a static environment; however their successful applicability on dynamic and upcoming reconfigurable network is still a big question. Moreover, data quality directly affects energy conservation among the nodes. Therefore, the proposed system introduces a simple and novel framework that jointly addresses the data quality and energy efficiency using probability-based design approach. Using a simplified analytical methodology, the proposed system offers solution in the form of selection transmission of an aggergated data on the basis of message priority in order to offer higher data utilization factor. The study outcome shows proposed system offers a good balance between data quality and energy efficiency in contrast to existing system.

Approach to minimizing consumption of energy in wireless sensor networks

“…If it fails, the relay ratio of the node is checked which is calculated by looking at the miss ratios of the neighbours of a node (the nodes which could not provide the desired speed) and is fed to the SNGF module. When compared to Dynamic Source Routing (DSR) [24] and Ad-Hoc on-Demand Vector routing (AODV) [25], SPEED performs better in terms of the end-to-end delay and miss ratio. Moreover, the total transmission energy is less due to the simplicity of the routing algorithm, i.e.…”

Energy efficient clustering and routing optimization model for maximizing lifetime of wireless sensor network

“…In order to overcome the redundancy problems and produce a more energy-efficient Data Aggregation (DA) method is utilized in [10]. To provision, the access of real-time [11] to sensor-data for the application of reliable industries, data processing, and accurate gathering is needed [12]. Anyways, performing the DA possess the challenging solution, which is represented in [13].…”

“…The environment of the system is utilized for experiment analysis such as windows 10 enterprises edition operating-system (OS), Intel Pentium I-5 class, a 64-bit processor of Quad-core, 4GB NVIDIA-CUDA enabled dedicated GPU, 16GB RAM. The SENSORIA simulator [32] is utilized to carry out the performance evaluation of the EECRO model over existing methods like LEACH [11]. The EECRO and LEACH are modeled by utilizing the Dot Net framework 4.5 and C# programming language.…”

“…The EECRO and LEACH are modeled by utilizing the Dot Net framework 4.5 and C# programming language. The LEACH has been widely utilized the comparison protocol across different existing methods [11]. As an outcome, this work assumes the LEACH protocol as a case study for comparison.…”