Fog-based energy-efficient routing protocol for wireless sensor networks

Borujeni, Elham Mirzavand; Rahbari, Dadmehr; Nickray, Mohsen

doi:10.1007/s11227-018-2514-3

“…This work is different from the work presented in [18] as follows. We develop an algorithm that can uniformly distribute the advanced nodes in the network for uniform energy distribution among the nodes.…”

Section: Introductionmentioning

confidence: 75%

“…We develop an algorithm that can uniformly distribute the advanced nodes in the network for uniform energy distribution among the nodes. We ensure that only advanced nodes can be selected as cluster heads unlike in [18], the authors stated that either normal nodes or advanced nodes can be used as cluster heads. This can create energy hole in the networks and result to loss of data packets.…”

Section: Introductionmentioning

confidence: 99%

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

Abidoye

¹

,

Kabaso

²

2020

Preprint

5

0

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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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“…If the forward link of the node is denoted by and denotes the reverse link of the node . The link that directly joins nodes and is represented in equation (18). = ( ̅ ( ), ̅ ( )) (20) Each link ∈ represents the success probability of data transmission on the link .…”

Section: _mentioning

confidence: 99%

“…We develop an algorithm that can uniformly distribute the Advanced nodes in the network for uniform energy distribution among the nodes. We ensure that only Advanced nodes can be selected as cluster heads unlike in [18], the authors stated that either normal nodes or Advanced nodes can be used as cluster heads. This can create an energy hole in the networks and result in loss of data packets.…”

mentioning

confidence: 99%

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

Abidoye

¹

,

Kabaso

²

2020

Preprint

0

View full text Add to dashboard Cite

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

show abstract

“…Borujeni et al [24] proposed fog-based energy-efficient routing protocol based on P-SEP which uses FECR and FEAR algorithms to improve the performance of fogsupported WSNs and prolong the lifetime of networks. The simulation results show that the average amount of energy usage in FECR protocol has been reduced and the number of live nodes saved in the network increased in proposed protocols than P-SEP protocol.…”

mentioning

confidence: 99%

Future computing with IoT and cloud computing

Park

¹

2018

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Future computing (FC) is a technology of real-world Internet of things on cloud computing with respect to IT convergence that has emerged rapidly as an exciting new industry and life paradigm. Future computing is being used to encompass the cloud, big data, and cloud data centers that are the megatrends of the computing industry. This technology is making a new future market that is different from the past and is evolving toward gradually eroding the existing market. Internet of things is a vast and dynamic territory and is evolving at a rapid pace. The realization of the Internet of things vision brings ICT technologies closer to many aspects of real-world facing serious issues such as global warming, environment protection, and energy saving on cloud computing. Advanced technologies in sensing, processing, communication, and services are leading to IoT service in our life such as industry, army, and life paradigms on cloud computing environment. There might be many issues to realize and provide smart services, and much effort and enormous attention have been focused on Internet of things on cloud computing technologies. Theoretical research contributions presenting advanced technologies, concepts, or analyses, reports on experiences and experiments of implementation and application of theories, and tutorials on new trends should be needed on this research fields. For the aforementioned reasons, the special issue intends to give an overview of the state of the art of issues and solution guidelines for the FC services with IT convergence. 2 Related works Meng et al. [1] proposed a dynamic multi-constraint service-aware collaborative access algorithm (DCSACA) based on dynamic load feedback to solve the problem of a large number of service request access in DACIOT. DCSACA builds a dynamic context

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Fog-based energy-efficient routing protocol for wireless sensor networks

Cited by 32 publications

References 38 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

Future computing with IoT and cloud computing

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