A Novel Energy Efficient Topology Control Scheme Based on a Coverage-Preserving and Sleep Scheduling Model for Sensor Networks

Bin-bin, Shi; Wei, Wei; Wang, Yihuai; Shu, Wanneng

doi:10.3390/s16101702

Cited by 12 publications

(14 citation statements)

References 43 publications

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“…To show the efficiency of the SAS protocol and validate its powerful in energy saving and extending the network lifetime, this section explains several experiments based on a data set conducted from Intel Berkeley Research Lab [11] and by using OMNeT++ network simulator [12]. Figure 3 shows a Sensor deployment in the Intel Berkeley Research Lab, as shown in this Figure, there is one sink node at the center of the Lab.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…In [10], the authors propose an iterative heuristic method called (IAND) to find the correlationdominating set for WSNs and greedy method to obtain the best nodes. In [11] the authors propose a Scheduling method called (CPCSS) that depends on the similarity model for calculating the correlation degree between the data of sensor nodes and partition the nodes into different classes. The redundancy degree among the nodes is calculated according to their sensing area.…”

Section: Literature Reviewmentioning

confidence: 99%

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Sensor Activity Scheduling Protocol for Lifetime prolongation in Wireless Sensor Networks

Hussein

Idrees

2017

KJAR

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Abstract:In Wireless Sensor Network (WSN), the dense sensor nodes deployment in the sensing field can be exploited in conserving the energy of the whole network, where the data of these nodes can be highly correlated. Therefore, it is necessary to turn off the unnecessary nodes that sense similar sensor readings so as to reduce the redundant sensed readings and decrease the communication overhead thus extend the WSN lifetime. This article suggests a Sensor Activity Scheduling (SAS) protocol for lifetime improvement of WSNs. SAS works in a periodic way. It exploits the spatial correlation among sensed sensor data in order to produce the best sensor activities schedule in WSNs. SAS composed of three phases: data collection, decision-based optimization, and sensing. SAS measures the similarity degree among the sensed data that collected in the first phase. It makes a decision of which sensors stay active during the sensing phase in each period and put the other nodes into low power sleep whilst keeping a good accuracy level to the received data at the sink to conserve the power and enhance the lifetime of the WSN. Several experiments based on real sensed data and by using OMNeT++ simulator demonstrate that SAS can save energy and extend the WSN lifetime efficiently compared with the other methods.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Sensor Activity Scheduling Protocol for Lifetime prolongation in Wireless Sensor Networks

Hussein

Idrees

2017

KJAR

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“…Two factors significantly affect the power consumption of battery-powered IoT devices and sensors: radio transmissions, and channel access. However, the amount of power consumed by the MAC layer can be reduced, e.g., by reducing the amount of idle listening, duty cycling [ 52 ], implementing sleep scheduling [ 53 ]; and assigning priority slots for low-power devices [ 54 ].…”

Section: Design Considerations For Mac Protocols Of Uiotmentioning

confidence: 99%

Medium Access Control Protocols for the Internet of Things Based on Unmanned Aerial Vehicles: A Comparative Survey

Khisa

Moh

2020

Sensors

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The Internet of Things (IoT), which consists of a large number of small low-cost devices, has become a leading solution for smart cities, smart agriculture, smart buildings, smart grids, e-healthcare, etc. Integrating unmanned aerial vehicles (UAVs) with IoT can result in an airborne UAV-based IoT (UIoT) system and facilitate various value-added services from sky to ground. In addition to wireless sensors, various kinds of IoT devices are connected in UIoT, making the network more heterogeneous. In a UIoT system, for achieving high throughput in an energy-efficient manner, it is crucial to design an efficient medium access control (MAC) protocol because the MAC layer is responsible for coordinating access among the IoT devices in the shared wireless medium. Thus, various MAC protocols with different objectives have been reported for UIoT. However, to the best of the authors’ knowledge, no survey had been performed so far that dedicatedly covers MAC protocols for UIoT. Hence, in this study, state-of-the-art MAC protocols for UIoT are investigated. First, the communication architecture and important design considerations of MAC protocols for UIoT are examined. Subsequently, different MAC protocols for UIoT are classified, reviewed, and discussed with regard to the main ideas, innovative features, advantages, limitations, application domains, and potential future improvements. The reviewed MAC protocols are qualitatively compared with regard to various operational characteristics and system parameters. Additionally, important open research issues and challenges with recommended solutions are summarized and discussed.

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“…Currently, mobile Ad hoc sensor network is widely utilized and obtains extensive applications for its rapid development, which results in the large quantities of problems emerged for the bad working condition [35][36][37]. For example, nodes in the network are likely to suffer from battery out of charge for the increasing power consuming rate and the link failure in the network.…”

Section: Fault Detection Algorithmmentioning

confidence: 99%

A Robust and Energy-Efficient Weighted Clustering Algorithm on Mobile Ad Hoc Sensor Networks †

Liu

Xiao

et al. 2018

Algorithms

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In an Ad hoc sensor network, nodes have characteristics of limited battery energy, self-organization and low mobility. Due to the mobility and heterogeneity of the energy consumption in the hierarchical network, the cluster head and topology are changed dynamically. Therefore, topology control and energy consumption are growing to be critical in enhancing the stability and prolonging the lifetime of the network. In order to improve the survivability of Ad hoc network effectively, this paper proposes a new algorithm named the robust, energy-efficient weighted clustering algorithm (RE2WCA). For the homogeneous of the energy consumption; the proposed clustering algorithm takes the residual energy and group mobility into consideration by restricting minimum iteration times. In addition, a distributed fault detection algorithm and cluster head backup mechanism are presented to achieve the periodic and real-time topology maintenance to enhance the robustness of the network. The network is analyzed and the simulations are performed to compare the performance of this new clustering algorithm with the similar algorithms in terms of cluster characteristics, lifetime, throughput and energy consumption of the network. The result shows that the proposed algorithm provides better performance than others.

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A Novel Energy Efficient Topology Control Scheme Based on a Coverage-Preserving and Sleep Scheduling Model for Sensor Networks

Cited by 12 publications

References 43 publications

Sensor Activity Scheduling Protocol for Lifetime prolongation in Wireless Sensor Networks

Sensor Activity Scheduling Protocol for Lifetime prolongation in Wireless Sensor Networks

Medium Access Control Protocols for the Internet of Things Based on Unmanned Aerial Vehicles: A Comparative Survey

A Robust and Energy-Efficient Weighted Clustering Algorithm on Mobile Ad Hoc Sensor Networks †

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