Scheduling approaches for wireless sensor networks

Al-Ghamdi, Bandar; Ayaida, Marwane; Fouchal, Hacène

doi:10.1109/i4cs.2015.7294486

Cited by 6 publications

(4 citation statements)

References 5 publications

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“…Scheduling sensors in a WSN requires a simple solution, especially considering the lack of control links between all the ISNs and the BS, as well as the lack of an RF front-end at the IRS. A scheduling algorithm is often implemented to manage the sensors in a collision-free manner [ 15 ]. The ISNs can be scheduled without any feedback using round-robin (RR) scheduling by having each take a turn sequentially.…”

Section: Transmission Schemementioning

confidence: 99%

IRS-Enabled Ultra-Low-Power Wireless Sensor Networks: Scheduling and Transmission Schemes

Alwazani

Chaaban

2022

Sensors

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Passive technologies, including intelligent reflecting surfaces (IRS), are gaining traction thanks to their ability to enhance communication systems while maintaining minimal cost and low complexity. They can assist a wireless sensor network (WSN) by achieving low power requirements for sensors and aid communication needs in many applications, for instance, environmental monitoring. In this paper, we propose an IRS-equipped WSN which describes sensors equipped with IRSs instead of active radio frequency (RF) electronics. The IRS sensor node (ISN) intercepts a dedicated signal from a power source such as a base station (BS) and modulates the transmission of that signal to an intended recipient. In order to enable multiple sensors to transmit to the receiver, we study opportunistic scheduling (OS) utilizing multi-sensor diversity while considering blind IRS operation, and compare it with round-robin (RR), proportional fairness (PF), and a theoretical upper bound. We study the effect of the choice of the number of IRS elements N and number of ISNs L on the average throughput of the system under OS. Finally, we provide pertinent comparisons for the different scheduling schemes and IRS configurations under relevant system performance metrics, highlighting different scenarios in which each scheme performs better.

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Section: Transmission Schemementioning

confidence: 99%

IRS-Enabled Ultra-Low-Power Wireless Sensor Networks: Scheduling and Transmission Schemes

Alwazani

Chaaban

2022

Sensors

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“…In [15], a semi-dynamic scheduling scheme that allows non-coordinating nodes to act as CHs is proposed. These nodes can send data to the PAN Coordinator without waiting for the next actuation period.…”

Section: Related Workmentioning

confidence: 99%

“…This section summarises the most relevant research works, addressing different issues: cluster scheduling [ 14 , 15 ], configuration of communication structures [ 10 , 11 , 16 , 17 , 18 , 19 ], data-load-based congestion control [ 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 ], and environmental monitoring network solutions for event-driven applications [ 28 , 29 , 30 ].…”

Section: Related Workmentioning

confidence: 99%

Dynamic Reconfiguration of Cluster-Tree Wireless Sensor Networks to Handle Communication Overloads in Disaster-Related Situations

Lino

Leão

Soares

et al. 2020

Sensors

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The development of flexible and efficient communication mechanisms is of paramount importance within the context of the Internet of Things (IoT) paradigm. IoT has been used for industrial, commercial, and residential applications, and the IEEE 802.15.4/ZigBee standard is one of the most suitable protocols for this purpose. This protocol is now frequently used to implement large-scale Wireless Sensor Networks (WSNs). In industrial settings, it is becoming increasingly common to deploy cluster-tree WSNs, a complex IEEE 802.15.4/ZigBee-based peer-to-peer network topology, to monitor and control critical processes such as those related to oil or gas, mining, or certain specific chemicals. The remote monitoring of critical events for hazards or disaster detection in large areas is a challenging issue, since the occurrence of events in the monitored environment may severely stress the regular operation of the network. This paper proposes the Dynamic REconfiguration mechanism of cluster-Tree WSNs (DyRET), which is able to dynamically reconfigure large-scale IEEE 802.15.4 cluster-tree WSNs, and to assign communication resources to the overloaded branches of the tree based on the accumulated network load generated by each of the sensor nodes. A complete simulation assessment demonstrates the proposed mechanism’s efficiency, and the results show that it can guarantee the required quality of service level for the dynamic reconfiguration of cluster-tree networks.

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“…In our previous work , we have defined the following a bound number of steps in order to achieve time slot scheduling. In the following, we will run these steps on an example based on the scheme of Figure .…”

Section: The Scheduling Algorithmsmentioning

confidence: 99%

Scheduling approaches in beacon‐enabled mode for wireless sensor networks

Al-Ghamdi

Ayaida

Fouchal

2017

Concurrency and Computation

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Summary Efficient energy consumption is the most important challenge in wireless sensors networks. Many solutions have been proposed since many years as efficient medium access control protocols, smart sensing applications, appropriate task scheduling, and so on. Task scheduling allows could participate to optimise energy consumption, it aims to propose planning over repetitive time periods where sensors need to sleep, to collect data and to communicate. In this paper, we propose two scheduling procedures (semi‐dynamic and dynamic) which are executed over the ZigBee network in beacon‐enabled mode. Each of these algorithms has its own features and advantages. The Zigbee super‐frame is used as a means to inform each node on its duties (when to sleep or when to communicate). In order to evaluate our proposals, we have implemented them over TelosB motes running on operating system TinyOS. These algorithms have been implemented on the Z‐Monitor tool . We have compared our scheduling approaches to the usual static scheduling method provided by Zigbee. These evaluations show that our proposals enhance network lifetime and ensure better packet data rate and lower latency. Copyright © 2017 John Wiley & Sons, Ltd.

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Scheduling approaches for wireless sensor networks

Cited by 6 publications

References 5 publications

IRS-Enabled Ultra-Low-Power Wireless Sensor Networks: Scheduling and Transmission Schemes

IRS-Enabled Ultra-Low-Power Wireless Sensor Networks: Scheduling and Transmission Schemes

Dynamic Reconfiguration of Cluster-Tree Wireless Sensor Networks to Handle Communication Overloads in Disaster-Related Situations

Scheduling approaches in beacon‐enabled mode for wireless sensor networks

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