Scalable Energy Efficient Hexagonal Heterogeneous Broad Transmission Distance Protocol in WSN-IoT Networks

Shrivastav, Khyati; Kulat, K. D.

doi:10.1007/s42835-019-00300-z

Cited by 6 publications

(4 citation statements)

References 49 publications

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“…The corresponding energy utilization and leftover energy-related graphs are shown in Figure 6. For better analysis of the efficiency, the model is analyzed with other cutting-edge techniques like cumulative low-energy adaptive clustering hierarchy-LEACH(Cum_LEACH) [49], stable election protocol (SEP) [50], and distributed energy-efficient clustering (DEEC) [51]. The model is evaluated with an initial energy of 50 mW instead of 100 mW as the initial simulated energy for the other evaluations.…”

Section: Resultsmentioning

confidence: 99%

“…The energy consumption and leftover energy graphs are shown in Figure 7, with reduced initial energy over 500 rounds. LEACH(Cum_LEACH) [49], stable election protocol (SEP) [50], and distributed energy-efficient clustering (DEEC) [51]. The model is evaluated with an initial energy of 50 mW instead of 100 mW as the initial simulated energy for the other evaluations.…”

Section: Resultsmentioning

confidence: 99%

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Energy Aware Software Defined Network Model for Communication of Sensors Deployed in Precision Agriculture

Ahmed

2023

Sensors

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A significant technological transformation has recently occurred in the agriculture sector. Precision agriculture is one among those transformations that largely focus on the acquisition of the sensor data, identifying the insights, and summarizing the information for better decision-making that would enhance the resource usage efficiency, crop yield, and substantial quality of the yield resulting in better profitability, and sustainability of agricultural output. For continuous crop monitoring, the farmlands are connected with various sensors that must be robust in data acquisition and processing. The legibility of such sensors is an exceptionally challenging task, which needs energy-efficient models for handling the lifetime of the sensors. In the current study, the energy-aware software-defined network for precisely selecting the cluster head for communication with the base station and the neighboring low-energy sensors. The cluster head is initially chosen according to energy consumption, data transmission consumption, proximity measures, and latency measures. In the subsequent rounds, the node indexes are updated to select the optimal cluster head. The cluster fitness is assessed in each round to retain the cluster in the subsequent rounds. The network model’s performance is assessed against network lifetime, throughput, and network processing latency. The experimental findings presented here show that the model outperforms the alternatives presented in this study.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Energy Aware Software Defined Network Model for Communication of Sensors Deployed in Precision Agriculture

Ahmed

2023

Sensors

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“…Heterogeneous-aware routing protocols such as the stable election protocol (SEP) and distributed energy-efficient clustering (DEEC) have been introduced. The SEP [ 41 ] comprises heterogeneous nodes to boost the network’s stability and longevity. The SEP has two types of nodes: normal nodes (NNs) and advanced nodes (ANs).…”

Section: Literature Reviewmentioning

confidence: 99%

Energy-Efficient LoRa Routing for Smart Grids

Repuri

Darsy

2023

Sensors

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Energy-efficient routing protocols in Internet of Things (IoT) applications are always of colossal importance as they improve the network’s longevity. The smart grid (SG) application of the IoT uses advanced metring infrastructure (AMI) to read and record power consumption periodically or on demand. The AMI sensor nodes in a smart grid network sense, process, and transmit information, which require energy, which is a limited resource and is an important parameter required to maintain the network for a longer duration. The present work discusses a novel energy-efficient routing criterion in an SG environment realised using LoRa nodes. Firstly, a modified LEACH protocol–cumulative low-energy adaptive clustering hierarchy (Cum_LEACH) is proposed for cluster head selection among the nodes. It uses the cumulative energy distribution of the nodes to select the cluster head. Furthermore, for test packet transmission, multiple optimal paths are created using the quadratic kernelised African-buffalo-optimisation-based LOADng (qAB_LOADng) algorithm. The best optimal path is selected from these multiple paths using a modified version of the MAX algorithm called the SMAx algorithm. This routing criterion showed an improved energy consumption profile of the nodes and the number of active nodes after running for 5000 iterations compared to standard routing protocols such as LEACH, SEP, and DEEC.

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“…Security is an important issue during information transmission in the network. The problem is based on the safety and vulnerabilities of the device information, and, hence, different techniques are used [4]. Using IoT creates the purpose of generating real-time data that can be evaluated.…”

Section: Introductionmentioning

confidence: 99%

A New Task Scheduling Approach for Energy Conservation in Internet of Things

et al. 2023

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Internet of Things (IoT) and mobile edge computing (MEC) architectures are common in real-time application scenarios for improving the reliability of service responses. Energy conservation (EC) and energy harvesting (EH) are significant concerns in such architectures due to the self-sustainable devices and resource-constraint edge nodes. The density of the users and service requirements are further reasons for energy conservation and the need for energy harvesting in these scenarios. This article proposes decisive task scheduling for energy conservation (DTS-EC). The proposed energy conservation method relies on conditional decision-making through classification disseminations and energy slots for data handling. By classifying the energy requirements and the states of the mobile edge nodes, the allocation and queuing of data are determined, preventing overloaded nodes and dissemination. This process is recurrent for varying time slots, edge nodes, and tasks. The proposed method is found to achieve a high data dissemination rate (8.16%), less energy utilization (10.65%), and reduced latency (11.44%) at different time slots.

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Scalable Energy Efficient Hexagonal Heterogeneous Broad Transmission Distance Protocol in WSN-IoT Networks

Cited by 6 publications

References 49 publications

Energy Aware Software Defined Network Model for Communication of Sensors Deployed in Precision Agriculture

Energy Aware Software Defined Network Model for Communication of Sensors Deployed in Precision Agriculture

Energy-Efficient LoRa Routing for Smart Grids

A New Task Scheduling Approach for Energy Conservation in Internet of Things

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