A Balanced Energy Consuming and Hole Alleviating Algorithm for Wireless Sensor Networks

Jan, Naeem; Hameed, Ahmad Raza; Ali, Babar; Ullah, Rahim; Ullah, Kaleem; Javaid, Nadeem

doi:10.1109/waina.2017.120

Cited by 22 publications

(24 citation statements)

References 21 publications

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“…There are also aspects from the transmission path to avoid this phenomenon. In [51], an algorithm called EA-BECHA is proposed to balance the load of the nodes. In the EA-BECHA algorithm, the current node always selects the next hop node which has the highest residual energy, so some high-load nodes are prevented from dying prematurely, which can relieve the problem of energy waste.…”

Section: Background and Related Workmentioning

confidence: 99%

A low redundancy data collection scheme to maximize lifetime using matrix completion technique

Tan

Liu

Xie

et al. 2019

J Wireless Com Network

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Sensor nodes equipped with various sensory devices can sense a wide range of information regarding human or things, thereby providing a foundation for Internet of Thing (IoT). Fast and energy-efficient data collection to the control center (CC) is of significance yet very challenging. To deal with this challenge, a low redundancy data collection (LRDC) scheme is proposed to reduce delay as well as energy consumption for monitoring network by using matrix completion technique. Due to the correlation of the location-dependent sensing data, some data without being collected can still be recovered by the matrix completion technology, thereby reducing the data amount for data collection and transmission, reducing the network energy consumption, and accelerating the process of data acquisition. Based on matrix completion technique, LRDC scheme can select only part of the nodes to sense data and transmit less data to CC. By doing so, the data collected by the network can be greatly reduced, which can effectively improve the network lifetime. In addition, LRDC scheme also proposes a method for quickly compensate sample data in cases of packet loss, whereby part of redundant data is sent in advance to the area closer to CC. If the data required for matrix completion is lost, these redundant data can be quickly obtained by CC, so the LRDC scheme has low delay characteristics. Simulation results demonstrate that LRDC scheme can achieve better performance than the traditional strategy, and it can reduce the maximum energy consumption of the network by 27.6-57.9% and reduce the delay by 0.7-17.9%.

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Section: Background and Related Workmentioning

confidence: 99%

A low redundancy data collection scheme to maximize lifetime using matrix completion technique

Tan

Liu

Xie

et al. 2019

J Wireless Com Network

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show abstract

“…It is assumed that the Mobile Adhoc Network consist of n sensor nodes with homogenous energy is deployed in circular region around a sink likewise each node senses the data periodically [15]. Once it receives data, then it is either transferred to the sink directly or to next neighbor hop.…”

Section: Theory/calculationmentioning

confidence: 99%

Alleviation of void and energy hole in mobile cloud offloading using hybrid behavioral intelligence

Preethika¹,

Gobinath²

2018

PEN

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In modern internet the usability of smart mobile devices is rapidly increased. It is not only used for commercial and communication purposes, it can be extended in the field like mobile health care, mobile learning, and mobile games. More access of smart mobile devices has a restriction due to resource constraint, this issue overwhelming via cloud computing. Heavy computations from mobile devices are offloaded to cloud and the application got executed. The problem occurs when the Electrogram data is entered into a mobile network in cloud environment which holds void and energy holes occurrences with heavy traffic and unbalanced load distribution.This paper aims to develop hybrid intelligence behavioural patterns for void and energy hole in mobile cloud offloading. The research work carried out in this paper extends its novelty in stage partitioning for concentric circles and sensor node distribution. The network area distribution of partitioning are uniformly distributed among void hole. The simulation results show the proposed approach produces high energy consumption in the mobile cloud paradigm.

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“…Complex routing processes and data transmission are the main causes of energy depletion among sensor nodes in agricultural precision WSN [26,27]. Aiming at a higher energy efficiency for the entire network, a new protocol named Gateway Clustering Energy-Efficient Centroid (GCEEC) routing protocol is proposed to manage the energy resources.…”

Section: Introductionmentioning

confidence: 99%

Optimized Cluster-Based Dynamic Energy-Aware Routing Protocol for Wireless Sensor Networks in Agriculture Precision

et al. 2020

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Wireless sensor networks (WSNs) are becoming one of the demanding platforms, where sensor nodes are sensing and monitoring the physical or environmental conditions and transmit the data to the base station via multihop routing. Agriculture sector also adopted these networks to promote innovations for environmental friendly farming methods, lower the management cost, and achieve scientific cultivation. Due to limited capabilities, the sensor nodes have suffered with energy issues and complex routing processes and lead to data transmission failure and delay in the sensor-based agriculture fields. Due to these limitations, the sensor nodes near the base station are always relaying on it and cause extra burden on base station or going into useless state. To address these issues, this study proposes a Gateway Clustering Energy-Efficient Centroid-(GCEEC-) based routing protocol where cluster head is selected from the centroid position and gateway nodes are selected from each cluster. Gateway node reduces the data load from cluster head nodes and forwards the data towards the base station. Simulation has performed to evaluate the proposed protocol with state-of-the-art protocols. The experimental results indicated the better performance of proposed protocol and provide more feasible WSN-based monitoring for temperature, humidity, and illumination in agriculture sector.

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A Balanced Energy Consuming and Hole Alleviating Algorithm for Wireless Sensor Networks

Cited by 22 publications

References 21 publications

A low redundancy data collection scheme to maximize lifetime using matrix completion technique

A low redundancy data collection scheme to maximize lifetime using matrix completion technique

Alleviation of void and energy hole in mobile cloud offloading using hybrid behavioral intelligence

Optimized Cluster-Based Dynamic Energy-Aware Routing Protocol for Wireless Sensor Networks in Agriculture Precision

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