An Efficient Algorithm for Energy Management in Wireless Sensor Networks via Employing Multiple Mobile Sinks

Shi, Jiao; Wei, Xing; Zhu, Wei

doi:10.1155/2016/3179587

Cited by 28 publications

(23 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The work in [25] proposes an energy management in a WSN with a multiple sinks (EMMS) algorithm to streamline the energy consumption of the WSN using multiple mobile sink nodes. The challenge of the proposed protocol design is to balance the payload between sink mobile nodes and the energy consumed between the sensor nodes through the flight control of each mobile sink node and, finally, it compares the efficiency with similar algorithms (SDMA [26] and DAWN [27]).…”

Section: Related Workmentioning

confidence: 99%

Data Collection Schemes for Animal Monitoring Using WSNs-Assisted by UAVs: WSNs-Oriented or UAV-Oriented

Vera-Amaro

Rivero-Ángeles

Luviano‐Juárez

2020

Sensors

View full text Add to dashboard Cite

Wireless sensor networks (WSNs) and unmanned aerial vehicles (UAVs) have been used for monitoring animals but when their habitats have difficult access and are areas of a large expanse, remote monitoring by classic techniques becomes a difficult task. The use of traditional WSNs requires a restrictive number of hops in a multi-hoping routing scheme, traveling long distances to the sink node where data is stored by nodes and UAVs are used to collect data by visiting each node. However, the use of UAVs is not straightforward since the energy balance between the WSN and UAV has to be carefully calibrated. Building on this, we propose two data collection schemes in clustered based WSNs: (1) WSN oriented and (2) UAV oriented. In the former, nodes within each cluster member (CM), send information to their cluster head (CH) and for recollection, the UAV visits all CHs. As the UAV visits many CHs the flight time is increased. In the latter, all CHs send data from their CMs to a sink node, hence, the UAV only visits this node, reducing the flying time but with a higher system energy cost. To find the most suitable scheme for different monitoring conditions in terms of the average energy consumption and the buffer capacity of the system, we develop a mathematical model that considers both the dynamics of the WSN along with the UAV.

show abstract

Section: Related Workmentioning

confidence: 99%

Data Collection Schemes for Animal Monitoring Using WSNs-Assisted by UAVs: WSNs-Oriented or UAV-Oriented

Vera-Amaro

Rivero-Ángeles

Luviano‐Juárez

2020

Sensors

View full text Add to dashboard Cite

show abstract

“…EM is foreseen to play a major role in WSN and the fundamental issue lies in the fact that these networks are powered by batteries and capacitors which are bound to have a limited lifetime. The energy optimisation problem is formulated by authors in [38] by employing multiple mobile sinks for data collection in WSN. The concept of Amplified Backscattering via EH (ABEH) is proposed in [34] with the focus on allowing the amplification of the backscattered signal to improve the read range of conventional passive RFID tags.…”

Section: Energy Management In Rsnmentioning

confidence: 99%

Energy Management in RFID-Sensor Networks: Taxonomy and Challenges

Anjum

Noor

Anisi

et al. 2019

IEEE Internet Things J.

View full text Add to dashboard Cite

Ubiquitous Computing is foreseen to play an important role for data production and network connectivity in the coming decades. The Internet of Things (IoT) research which has the capability to encapsulate identification potential and sensing capabilities, strives towards the objective of developing seamless, interoperable and securely integrated systems which can be achieved by connecting the Internet with computing devices. This gives way for the evolution of wireless energy harvesting and power transmission using computing devices. Radio Frequency (RF) based Energy Management (EM) has become the backbone for providing energy to wireless integrated systems. The two main techniques for EM in RFID Sensor Networks (RSN) are Energy Harvesting (EH) and Energy Transfer (ET). These techniques enable the dynamic energy level maintenance and optimisation as well as ensuring reliable communication which adheres to the goal of increased network performance and lifetime. In this paper, we present an overview of RSN, its types of integration and relative applications. We then provide the state-of-the-art EM techniques and strategies for RSN from August 2009 till date, thereby reviewing the existing EH and ET mechanisms designed for RSN. The taxonomy on various challenges for EM in RSN has also been articulated for open research directives.

show abstract

“…The Energy Management in a WSN with Multiple Sinks (EMMS) [11] has been proposed to improve the energy consumption. EMMS finds a closed tour of each mobile sink, where the length of the closed tour of all mobile sinks is equal.…”

Section: Related Workmentioning

confidence: 99%

An analytical model for deploying mobile sinks in industrial Internet of Things

Vahabi

Faragardi

Fotouhi

2018

2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)

View full text Add to dashboard Cite

Nowadays, the Industrial Internet of Things (IIoT) has the potential to be implemented in factories and supply chains to improve manufacturing efficiency. It is becoming more common to use mobile robots in such factories for further improvements. Adding data collection capability to the mobile robots would realize the mobile sink deployment in future factories. As it is important to reduce the deployment cost, we are aiming at a network with minimum number of mobile sinks while ensuring network reliability and timeliness. In this paper, we analytically model a given trajectory for the motion of mobile sinks and the routing of mobile sinks along the trajectory in an IIoT system. We introduce an optimization problem in the form of Integer Linear Programming (ILP) to specify the minimum number of required mobile sinks to reduce deployment cost of an IIoT system, and also to identify the routing of multiple mobile sinks along a given trajectory. The proposed ILP model can be solved by several existing off-the-shelf ILP-solvers.

show abstract

An Efficient Algorithm for Energy Management in Wireless Sensor Networks via Employing Multiple Mobile Sinks

Cited by 28 publications

References 13 publications

Data Collection Schemes for Animal Monitoring Using WSNs-Assisted by UAVs: WSNs-Oriented or UAV-Oriented

Data Collection Schemes for Animal Monitoring Using WSNs-Assisted by UAVs: WSNs-Oriented or UAV-Oriented

Energy Management in RFID-Sensor Networks: Taxonomy and Challenges

An analytical model for deploying mobile sinks in industrial Internet of Things

Contact Info

Product

Resources

About