A Novel Relay Node Placement and Energy Efficient Routing Method for Heterogeneous Wireless Sensor Networks

Xie, Jiazu; Zhang, Baoju; Zhang, Cuiping

doi:10.1109/access.2020.2984495

Cited by 24 publications

(15 citation statements)

References 24 publications

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“…In the past decades, SI approaches have been applied to many real world problems including wireless communication, wireless networks, and WSN [12][13][14][15][16]. This promotes researchers to think out more and more methods by simulating social behaviors of swarms.…”

Section: Methodsmentioning

confidence: 99%

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An Improved Sparrow Search Algorithm for Deployment Problem in Wireless Sensor Network

Xie

Zhang

2022

Preprint

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When designing and deploying wireless sensor network (WSN), sensor node deployment is one of the crucial issues for WSN providing high quality of service. Sensor node deployment could also affect network coverage, network connectivity, network lifetime, and energy consumption. This paper attempts to solve sensor node deployment problem in WSN. A mathematical model is constructed by considering coverage maximization, deployment strategy and other constraints. As the problem is non-deterministic polynomial (NP) complete, a new method called sparrow search algorithm (SSA) is used. A novel population structure is proposed to improve SSA to solve the problem. Two populations with central symmetry property are created in initialization. Crossover operator is used to exchange information of the two populations. The computational complexity of the improved SSA algorithm is also discussed. Numerical simulations are performed to solve the deployment problem in WSN. The improved SSA algorithm is tested and compared with other algorithms. The results show that the proposed method is useful to address NP complete sensor node deployment problem in WSN.

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Section: Methodsmentioning

confidence: 99%

“…In [12], the authors summarized state-of-the-art SI related methods for mobile WSN. Recently, there are many SI related methods for solving problems in WSN [13][14][15][16].…”

mentioning

confidence: 99%

An Improved Sparrow Search Algorithm for Deployment Problem in Wireless Sensor Network

Xie

Zhang

2022

Preprint

Self Cite

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“…Power-efficient network routing is also a hot topic. For instance, Xie et al [60] reviewed recent works on energy-efficient routing and propose a novel method for relay node placement. Other authors focused on solutions for service-aware clustering [61].…”

Section: Green Control Softwarementioning

confidence: 99%

Green IoT and Edge AI as Key Technological Enablers for a Sustainable Digital Transition towards a Smart Circular Economy: An Industry 5.0 Use Case

Fraga‐Lamas

Lopes

Fernández‐Caramés

2021

Sensors

178

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Internet of Things (IoT) can help to pave the way to the circular economy and to a more sustainable world by enabling the digitalization of many operations and processes, such as water distribution, preventive maintenance, or smart manufacturing. Paradoxically, IoT technologies and paradigms such as edge computing, although they have a huge potential for the digital transition towards sustainability, they are not yet contributing to the sustainable development of the IoT sector itself. In fact, such a sector has a significant carbon footprint due to the use of scarce raw materials and its energy consumption in manufacturing, operating, and recycling processes. To tackle these issues, the Green IoT (G-IoT) paradigm has emerged as a research area to reduce such carbon footprint; however, its sustainable vision collides directly with the advent of Edge Artificial Intelligence (Edge AI), which imposes the consumption of additional energy. This article deals with this problem by exploring the different aspects that impact the design and development of Edge-AI G-IoT systems. Moreover, it presents a practical Industry 5.0 use case that illustrates the different concepts analyzed throughout the article. Specifically, the proposed scenario consists in an Industry 5.0 smart workshop that looks for improving operator safety and operation tracking. Such an application case makes use of a mist computing architecture composed of AI-enabled IoT nodes. After describing the application case, it is evaluated its energy consumption and it is analyzed the impact on the carbon footprint that it may have on different countries. Overall, this article provides guidelines that will help future developers to face the challenges that will arise when creating the next generation of Edge-AI G-IoT systems.

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“…An energy efficient routing approach and a novel relay node placement was developed by Zhang et al [26] in HWSNs. The key goal of the work was to solve both issues of energy efficient routing and relay node placement (RNP) for HWSNs.…”

Section: Related Workmentioning

confidence: 99%

Energy efficient rendezvous points based routing technique using multiple mobile sink in heterogeneous wireless sensor networks

2021

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In recent decades, Sensor nodes (SNs) are used in numerous uses of heterogeneous wireless sensor networks (HWSNs) to obtain a variety of sensing data sources. Sink mobility shows a significant part in the enhancement of sensor system execution, energy utilization, and lifetime. To manage sink mobility, rendezvous points (RPs) are introduced where some SNs are chosen as RPs, and the non-RP nodes convey the information to the cluster heads (CHs). The CHs then forward their information to the nearby RPs. To determine the set of RPs and travelling path of mobile sinks (MSs) that visits these RPs is quite challenging. This work presents an energy-efficient SOSS based routing method that depends on RPs and multiple MSs in HWSNs. At first, all the heterogeneous nodes are distributed into the number of clusters using mean shift clustering (MSC). Then, the Bald eagle search (BES) algorithm is used for an optimal selection of CHs whereas multiple MS is employed for effective data gathering. The use of multiple MSs can enhance the data collection efficiency and decreases the energy utilization for HWSNs. Finally, the hybrid seagull optimization and salp swarm (SOSS) algorithm is used to find the RPs and travelling routes of MS. The entire simulation work of the heterogeneous network is simulated in the NS2 platform. The simulation outcomes display that the suggested method provides superior performance in HWSN than other current routing protocols.

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A Novel Relay Node Placement and Energy Efficient Routing Method for Heterogeneous Wireless Sensor Networks

Cited by 24 publications

References 24 publications

An Improved Sparrow Search Algorithm for Deployment Problem in Wireless Sensor Network

An Improved Sparrow Search Algorithm for Deployment Problem in Wireless Sensor Network

Green IoT and Edge AI as Key Technological Enablers for a Sustainable Digital Transition towards a Smart Circular Economy: An Industry 5.0 Use Case

Energy efficient rendezvous points based routing technique using multiple mobile sink in heterogeneous wireless sensor networks

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