Energy efficient scheduling in local area networks

Hisham, Mohamed; Elmogy, Ahmed M.; Sarhan, Amany M.; Sallam, Al sayed A. H.

doi:10.1007/s11276-019-02174-5

Cited by 5 publications

(3 citation statements)

References 22 publications

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“…As a result, standard WSN methods may be ineffective in a scalable WSN-aided IoT network. Many researchers used the cluster-based hierarchical framework to solve the scalability and network lifetime problems [9,10]. The choice and management of Cluster Head (CH) nodes is the primary focus of clusteringbased routing systems.…”

Section: Introductionmentioning

confidence: 99%

EEDC: An Energy Efficient Data Communication Scheme Based on New Routing Approach in Wireless Sensor Networks for Future IoT Applications

Gupta,

Wadhwa,

Rani

et al. 2023

Sensors

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Wireless Sensor Networks (WSNs) and the Internet of Things (IoT) have emerged as transforming technologies, bringing the potential to revolutionize a wide range of industries such as environmental monitoring, agriculture, manufacturing, smart health, home automation, wildlife monitoring, and surveillance. Population expansion, changes in the climate, and resource constraints all offer problems to modern IoT applications. To solve these issues, the integration of Wireless Sensor Networks (WSNs) and the Internet of Things (IoT) has come forth as a game-changing solution. For example, in agricultural environment, IoT-based WSN has been utilized to monitor yield conditions and automate agriculture precision through different sensors. These sensors are used in agriculture environments to boost productivity through intelligent agricultural decisions and to collect data on crop health, soil moisture, temperature monitoring, and irrigation. However, sensors have finite and non-rechargeable batteries, and memory capabilities, which might have a negative impact on network performance. When a network is distributed over a vast area, the performance of WSN-assisted IoT suffers. As a result, building a stable and energy-efficient routing infrastructure is quite challenging in order to extend network lifetime. To address energy-related issues in scalable WSN-IoT environments for future IoT applications, this research proposes EEDC: An Energy Efficient Data Communication scheme by utilizing “Region based Hierarchical Clustering for Efficient Routing (RHCER)”—a multi-tier clustering framework for energy-aware routing decisions. The sensors deployed for IoT application data collection acquire important data and select cluster heads based on a multi-criteria decision function. Further, to ensure efficient long-distance communication along with even load distribution across all network nodes, a subdivision technique was employed in each tier of the proposed framework. The proposed routing protocol aims to provide network load balancing and convert communicating over long distances into shortened multi-hop distance communications, hence enhancing network lifetime.The performance of EEDC is compared to that of some existing energy-efficient protocols for various parameters. The simulation results show that the suggested methodology reduces energy usage by almost 31% in sensor nodes and provides almost 38% improved packet drop ratio.

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Section: Introductionmentioning

confidence: 99%

EEDC: An Energy Efficient Data Communication Scheme Based on New Routing Approach in Wireless Sensor Networks for Future IoT Applications

Gupta,

Wadhwa,

Rani

et al. 2023

Sensors

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“…Figure 1 depicts the typical model of WSN. Many theorists have implemented cluster‐based hierarchical architecture to overcome the problem of scalability and lifetime of networks 12,13 . The primary emphasis in cluster‐based routing protocols is to select and organize the effective cluster head (CH) of the remaining cluster nodes 14,15 .…”

Section: Introductionmentioning

confidence: 99%

EETSP: Energy‐efficient two‐stage routing protocol for wireless sensor network‐assisted Internet of Things

Dwivedi¹,

Mehra

Pal

et al. 2021

Int J Communication

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Summary Wireless sensor network (WSN) is a key technology that can support Industrial Revolution 4.0. The sensor nodes (SNs) are the important component of WSN. Recharge or repair of batteries of SNs is impossible, and thus, energy is the most valuable resource of WSN. Over the years, many methods have been proposed to conserve the precious energy resource of WSN. The most important concern in WSN is how much of the energy of the SNs can be saved, which can contribute to the better network life of WSN. WSN‐assisted IoT output is reduced when a wide region of the network is deployed. Energy‐efficient routing is one of the ways to reduce power consumption in WSNs. Therefore, a novel energy‐efficient two‐stage routing protocol (EETSP) has been proposed to reduce the energy used in WSN and extend the stability period as well as the network lifetime of WSN. Through this protocol, the number of packets communicated to the base station (BS) is significantly improved, and the cluster heads (CHs) and secondary cluster heads (SCHs) reduce the energy utilization in the network. SCH works as a backup CH. EETSP consists of two stages. The selection of CH and SCH is made in the primary stage, based on the input parameters. Intercluster routing and intracluster routing are performed in the second stage. The improvements of EETSP are examined against LEACH and Z‐SEP, and obtained results indicate that the EETSP is better in terms of stability period, throughput and network lifetime.

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“…The strengths of D2D interactions could be divided into two main categories: (i) improving network capacity and (ii) allowing new location providers. The D2D technology improves system throughput through enhancing energy and/or bandwidth quality, reducing latency, avoid congestion, expanding wireless coverage and handling network activity, and so on [3][4][5] (Fig. 1).…”

Section: Introductionmentioning

confidence: 99%

Federated Learning Approach for Privacy-Preserving on the D2D Communication in IoT

Alam

2021

Lecture Notes in Networks and Systems

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Federated Learning (FedL) allows smart devices to use the collective predictive models efficiently and effectively when having most of the trained data on the device, essentially decoupling advanced analytics for the requirement to maintain information in the database. The Device-to-Device (D2D) messaging on the Internet of Things (IoT) is characterized as immediate interaction among smart devices without going through the access point or the sensor nodes. D2D approach is usually never visible to the base station. Throughout a conventional communication system, all transactions should be carried out throughout the base stations even if the correspondence participants are beyond the range of the networks. The IoT devices enable communication with each other and access throughout the IoT system. The integration of existing communications networks including IoT systems offers a wide range and advanced mobile networking services. The message scheduling algorithm operates on the distributor basis to take scheduling decisions on the communicated messages. Such a schedule enhances the performance of the D2D communication. Through the implementation of FedL, the author assumes a system of wireless connections shared a public faded communication link. Where every device has its training collection, and connectivity is usually accomplished through D2D networking. In this article, the author has proposed a D2D secure communication algorithm for IoT devices. This algorithm is tested using some experiments and it performs well.

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Energy efficient scheduling in local area networks

Cited by 5 publications

References 22 publications

EEDC: An Energy Efficient Data Communication Scheme Based on New Routing Approach in Wireless Sensor Networks for Future IoT Applications

EEDC: An Energy Efficient Data Communication Scheme Based on New Routing Approach in Wireless Sensor Networks for Future IoT Applications

EETSP: Energy‐efficient two‐stage routing protocol for wireless sensor network‐assisted Internet of Things

Federated Learning Approach for Privacy-Preserving on the D2D Communication in IoT

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