An Energy-Balanced Heuristic for Mobile Sink Scheduling in Hybrid WSNs

Zhou, Zhangbing; Du, Chu; Shu, Lei; Hancke, Gerhard P.; Niu, Jianwei; Ning, Huansheng

doi:10.1109/tii.2015.2489160

Cited by 94 publications

(43 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this section, we apply planar graph algorithms for building a routing map for static sensors and divided the network region. Different from the grid dividing mechanism in [22,23], the network in this article is divided into many small faces. In each face region, edge connects two nodes within a one-hop communication range.…”

Section: Static Sensor Data Gatheringmentioning

confidence: 99%

Boundary Region Detection for Continuous Objects in Wireless Sensor Networks

Zhang

Wang

Meng

et al. 2018

Wireless Communications and Mobile Computing

Self Cite

View full text Add to dashboard Cite

Industrial Internet of Things has been widely used to facilitate disaster monitoring applications, such as liquid leakage and toxic gas detection. Since disasters are usually harmful to the environment, detecting accurate boundary regions for continuous objects in an energy-efficient and timely fashion is a long-standing research challenge. This article proposes a novel mechanism for continuous object boundary region detection in a fog computing environment, where sensing holes may exist in the deployed network region. Leveraging sensory data that have been gathered, interpolation algorithms have been applied to estimate sensory data at certain geographical locations, in order to estimate a more accurate boundary line. To examine whether estimated sensory data reflect that fact, mobile sensors are adopted to traverse these locations for gathering their sensory data, and the boundary region is calibrated accordingly. Experimental evaluation shows that this technique can generate a precise object boundary region with certain time constraints, and the network lifetime can be prolonged significantly.

show abstract

Section: Static Sensor Data Gatheringmentioning

confidence: 99%

Boundary Region Detection for Continuous Objects in Wireless Sensor Networks

Zhang

Wang

Meng

et al. 2018

Wireless Communications and Mobile Computing

Self Cite

View full text Add to dashboard Cite

show abstract

“…A 3-phase energy-balanced heuristic is proposed to schedule mobile sinks energy efficiently while prolonging the network lifetime. 57 The network region is divided into grid cells with the same geographical size, which are then assigned to clusters through an algorithm inspired by the k-dimensional tree algorithm such that the energy consumption of each cluster is similar when gathering data. In cloud-supported IoT, front-ends are responsible for data acquisition and status supervision, while the data are stored and managed in the cloud server.…”

Section: Iot Enabled Smart Gridmentioning

confidence: 99%

A review on the features and technologies for energy efficiency of smart grid

Anjana¹,

Shaji

2017

Int J Energy Res

View full text Add to dashboard Cite

Summary In today's world striving for efficiency in every sector, especially power generation and distribution, smart grids emerge as the solution for efficiently meeting the increasing demand. They adjust themselves to optimally deliver energy at the lowest cost and highest quality possible. The grid successfully makes use of renewable energy resources, electric vehicles, and smart pricing techniques in its attempt to achieve energy efficiency. It also promotes a greener environment by striving to reduce greenhouse gas emissions. Information communication technology (ICT) helps the grid in collecting consumption data from the consumers and in sharing tariff information. ICT also helps to gather information about the status of the grid with regard to aspects like power quality, faults etc. The purpose of this paper is to review recent literature with a view to comprehensively present the technologies employed in the smart grid for achieving energy efficiency and the challenges involved therein.

show abstract

“…General consideration in scheduling algorithms is described through following comparison table (Zhou et.al 2015) [34] Proposed the technique of dividing the network into grids cells which are of equal size and shape. Using algorithm that is based on k-dimensional tree algorithm grid cells are assigned to clusters such that while collecting data the energy consumed by each cluster is same.…”

Section: International Journal Of Computer Applications (0975 -8887)mentioning

confidence: 99%

A Review of Various Scheduling Techniques Considering Energy Efficiency in WSN

Kaur¹,

Sharma²

2017

IJCA

View full text Add to dashboard Cite

In advanced computing the Wireless Sensor Networks becomes the need of hour. The resources which are used in Wireless sensor Networks are limited in numbers. Resources are required to be allocated wisely to perform the numerous tasks in which job scheduling is always considered to be a key feature. Wireless sensor network has many sensor nodes as which are considered to be main components. Sensor node has limited energy and storage capabilities. So energy consumption in this field during scheduling is a biggest issue. This issue is carried out by many researchers and legion of algorithms are devised for achieving energy efficiency during scheduling of resources in wireless sensor networks. In this paper we have focused both the moving and stationery nodes for our study. Moving nodes are considered to be more prone to energy loss as compared to static nodes. This paper aims to study various techniques used to perform scheduling among such nodes to minimize energy consumption.

show abstract

An Energy-Balanced Heuristic for Mobile Sink Scheduling in Hybrid WSNs

Cited by 94 publications

References 27 publications

Boundary Region Detection for Continuous Objects in Wireless Sensor Networks

Boundary Region Detection for Continuous Objects in Wireless Sensor Networks

A review on the features and technologies for energy efficiency of smart grid

A Review of Various Scheduling Techniques Considering Energy Efficiency in WSN

Contact Info

Product

Resources

About