A Novel Heterogeneous Wireless Sensor Node Deployment Algorithm With Parameter-Free Configuration

Kuawattanaphan, Rungrote; Champrasert, Paskorn; Aramkul, Somrawee

doi:10.1109/access.2018.2865279

Cited by 12 publications

(5 citation statements)

References 46 publications

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“…We provide the simulation results for the heterogeneous network, including sensor nodes with different sensing and battery energies. The initial energy of each sensor node is set between 1 to 19,160 J. it is assumed that a 35 m sensing range and the energy consumption during node movement is 1 J/m [8,27].…”

Section: B Methodologymentioning

confidence: 99%

Efficient Node Deployment of Large-Scale Heterogeneous Wireless Sensor Networks

et al. 2021

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Wireless Sensor Networks (WSNs) became essential in developing many applications, including smart cities and Internet of Things (IoT) applications. WSN has been used in many critical applications such as healthcare, military, and transportation. Such applications depend mainly on the performance of the deployed sensor nodes. Therefore, the deployment process has to be perfectly arranged. However, the deployment process for a WSN is challenging due to many of the constraints to be taken into consideration. For instance, mobile nodes are already utilized in many applications, and their localization needs to be considered during the deployment process. Besides, heterogeneous nodes are employed in many recent applications due to their efficiency and cost-effectiveness. Moreover, the development areas might have different properties due to their importance. Those parameters increase the deployment complexity and make it hard to reach the best deployment scheme. This work, therefore, seeks to discover the best deployment plan for a WSN, considering these limitations throughout the deployment process. First, the deployment problem is defined as an optimization problem and mathematically formulated using Integer Linear Programming (ILP) to understand the problem better. The main objective function is to maximize the coverage of a given field with a network lifetime constraint. Nodes’ mobility and heterogeneity are added to the deployment constraints. The importance of the monitored field subareas is also introduced in this paper, where some subareas could have more importance than others. The paper utilizes Swarm Intelligence as a heuristic algorithm for the large-scale deployment problem. Simulation experiments show that the proposed algorithm produces efficient deployment schemes with a high coverage rate and minimum energy consumption compared to some recent algorithms. The proposed algorithm shows more than a 30% improvement in coverage and network lifetime.

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Section: B Methodologymentioning

confidence: 99%

Efficient Node Deployment of Large-Scale Heterogeneous Wireless Sensor Networks

et al. 2021

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“…Kuawattanaphan et al [72] devised an algorithm DeVForce-AP for sensor node deployment in heterogeneous WSN. DeVForce-AP combines the benefits of the Delaunay triangulation method (D) and extended virtual force (eVForce) with an adaptive parameter (AP) tuning mechanism.…”

Section: Prosmentioning

confidence: 99%

Review of the Effect of Heterogeneity on Wireless Sensor Networks: A Topological Perspective

Banerjee

Mandal

et al. 2023

Preprint

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Wireless sensor networks (WSN) are critical for IoT, smart cities, smart health, and other smart services. Network characteristics such as energy consumption, latency, dependability, and stability have a significant impact on WSN performance. However, the numerous capabilities of the nodes, as well as the adjustment of different properties, result in a heterogeneous network. A proper classification, assessment, and management of this heterogeneity are crucial for a long-term network operation. This article gives a full topological taxonomy of heterogeneity, as well as a detailed discussion on the effect of heterogeneity on many aspects of WSN. Comparative analysis of the effect of heterogeneity on different parameters of network performance establishes the advantage of heterogeneous WSN in modern networks. Different measurement methodologies for the estimation of heterogeneity are included in the paper. Relevance of properly managed heterogeneity in the state-of-the-art technologies are presented as the possible future applications.

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“…Thus, environmental obstacles-factors that contribute to the degradation of WSNs-need to be taken into account. Kuawattanaphan et al [30] proposed a deployment algorithm for WSNs to tackle network coverage, connectivity, and lifetime problems with environmental obstructions as a constituent factor. The solution, namely, DeVForce-AP, was a fusion of two constituting algorithms: the Delaunay triangulation method (D) and the extended virtual force algorithm (eVForce).…”

Section: Ad Hoc Networkmentioning

confidence: 99%

Sensor System: A Survey of Sensor Type, Ad Hoc Network Topology and Energy Harvesting Techniques

Nguyen¹,

Kim²

2021

Electronics

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People nowadays are entering an era of rapid evolution due to the generation of massive amounts of data. Such information is produced with an enormous contribution from the use of billions of sensing devices equipped with in situ signal processing and communication capabilities which form wireless sensor networks (WSNs). As the number of small devices connected to the Internet is higher than 50 billion, the Internet of Things (IoT) devices focus on sensing accuracy, communication efficiency, and low power consumption because IoT device deployment is mainly for correct information acquisition, remote node accessing, and longer-term operation with lower battery changing requirements. Thus, recently, there have been rich activities for original research in these domains. Various sensors used by processing devices can be heterogeneous or homogeneous. Since the devices are primarily expected to operate independently in an autonomous manner, the abilities of connection, communication, and ambient energy scavenging play significant roles, especially in a large-scale deployment. This paper classifies wireless sensor nodes into two major categories based the types of the sensor array (heterogeneous/homogeneous). It also emphasizes on the utilization of ad hoc networking and energy harvesting mechanisms as a fundamental cornerstone to building a self-governing, sustainable, and perpetually-operated sensor system. We review systems representative of each category and depict trends in system development.

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A Novel Heterogeneous Wireless Sensor Node Deployment Algorithm With Parameter-Free Configuration

Cited by 12 publications

References 46 publications

Efficient Node Deployment of Large-Scale Heterogeneous Wireless Sensor Networks

Efficient Node Deployment of Large-Scale Heterogeneous Wireless Sensor Networks

Review of the Effect of Heterogeneity on Wireless Sensor Networks: A Topological Perspective

Sensor System: A Survey of Sensor Type, Ad Hoc Network Topology and Energy Harvesting Techniques

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