Energy dependent cluster formation in heterogeneous wireless sensor network

Priyadarshi, Rahul; Rawat, Piyush; Nath, Vijay

doi:10.1007/s00542-018-4116-7

Cited by 69 publications

(15 citation statements)

References 21 publications

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“…An efficient CH selection was proposed to extend the network lifetime, through an approach called Energy-Dependent Cluster Formation in heterogeneous WSNs (EDCF) [27]. The authors employ a clustering process to reduce energy consumption, to extend the network lifetime.…”

Section: Related Workmentioning

confidence: 99%

Energy-efficient hierarchical routing in wireless sensor networks based on fog computing

Abidoye

Kabaso

2021

J Wireless Com Network

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Wireless sensor networks (WSNs) have been recognized as one of the most essential technologies of the twenty-first century. The applications of WSNs are rapidly increasing in almost every sector because they can be deployed in areas where cable and power supply are difficult to use. In the literature, different methods have been proposed to minimize the energy consumption of sensor nodes to prolong WSNs utilization. In this article, we propose an efficient routing protocol for data transmission in WSNs; it is called energy-efficient hierarchical routing protocol for wireless sensor networks based on fog computing. Fog computing is integrated into the proposed scheme due to its capability to optimize the limited power source of WSNs and its ability to scale up to the requirements of the Internet of things applications. In addition, we propose an improved ant colony optimization algorithm that can be used to construct an optimal path for efficient data transmission for sensor nodes. The performance of the proposed scheme is evaluated in comparison with P-SEP, EDCF, and RABACO schemes. The results of the simulations show that the proposed approach can minimize sensor nodes’ energy consumption, data packet losses, and extends the network lifetime. We are aware that in WSNs, the certainty of the sensed data collected by a sensor node can vary due to many reasons such as environmental factors, drained energy, and hardware failures.

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Section: Related Workmentioning

confidence: 99%

Energy-efficient hierarchical routing in wireless sensor networks based on fog computing

Abidoye

Kabaso

2021

J Wireless Com Network

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Section: Related Workmentioning

confidence: 99%

Energy-efficient hierarchical routing in wireless sensor networks based on Fog Computing

Abidoye

Kabaso

2020

Preprint

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Wireless sensor networks (WSNs) have been recognized as one of the most essential technologies of the 21st century. The applications of WSNs are rapidly increasing in almost every sector because they can be deployed in areas where cable and power supply are difficult to use. In the literature, different methods have been proposed to minimize energy consumption of sensor nodes so as to prolong WSNs utilization. In this article, we propose an efficient routing protocol for data transmission in WSNs; it is called Energy-Efficient Hierarchical routing protocol for wireless sensor networks based on Fog Computing (EEHFC). Fog computing is integrated into the proposed scheme due to its capability to optimize the limited power source of WSNs and its ability to scale up to the requirements of the Internet of Things applications. In addition, we propose an improved ant colony optimization (ACO) algorithm that can be used to construct optimal path for efficient data transmission for sensor nodes. The performance of the proposed scheme is evaluated in comparison with P-SEP, EDCF, and RABACO schemes. The results of the simulations show that the proposed approach can minimize sensor nodes’ energy consumption, data packet losses and extends the network lifetime.

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“…Sensors may be organized into constant size clusters [5], clustered according to the grids that they are deployed [6], based on the fuzzy logic or fuzzy c-mean mechanism [7,21], or type-2 fuzzy logic and ACO [22]. In addition, clustering sensors according to the sensors’ energy in heterogeneous wireless sensor network is also proposed [23]. The first proposed and well-known method is the LEACH approach [9].…”

Section: Related Workmentioning

confidence: 99%

A Charging-Aware Multi-Mode Routing Protocol for Data Collection in Wireless Rechargeable Sensor Networks

Huang

2019

Sensors

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This paper proposes a charging-aware multi-mode routing protocol (CMRP) to collect data in the wireless rechargeable sensor networks. The routing mechanism in CMRP is not steady but changes according to the energy charging status of sensors. Sensors that cannot replenish their energy efficiency use the routing protocol with less energy consumption. On the contrary, sensors that can replenish their energy use the low propagation delay routing protocol. A novel heuristic chaining mechanism based on multi-level convex hull circle (MCC) is also proposed. Simulation results show that CMRP not only has longer operation time than LEACH and PEGASIS but also has the shortest propagation delay time. The lifetime of CMRP is less than the minimum spanning tree by about 1%, but the propagation delay is shorter than MSTP about 21–28%. In addition, CMRP considers both reducing energy consumption and shortening the propagation delay at the same time. The life-delay rate of the CMRP is close to the optimal results.

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Energy dependent cluster formation in heterogeneous wireless sensor network

Cited by 69 publications

References 21 publications

Energy-efficient hierarchical routing in wireless sensor networks based on fog computing

Energy-efficient hierarchical routing in wireless sensor networks based on fog computing

Energy-efficient hierarchical routing in wireless sensor networks based on Fog Computing

A Charging-Aware Multi-Mode Routing Protocol for Data Collection in Wireless Rechargeable Sensor Networks

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