WiCHORD: A Chord Protocol Application on P2P LoRa Wireless Sensor Networks

Balatsouras, Christos-Panagiotis; Karras, Aristeidis; Karras, Christos; Tsolis, Dimitrios; Sioutas, Spyros

doi:10.1109/iisa56318.2022.9904339

Cited by 4 publications

(36 citation statements)

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“…In this work, the initial methodology of the WiCHORD protocol from [12], which is an adaptation of the Chord protocol from [9] for P2P LoRa wireless sensor networks, is extended in detail in order to implement an overlay for wireless sensor networks. These sensor networks are suitable to be deployed in precision agriculture applications, where the benefits of WiCHORD such as its energy efficiency, network stability, and sensor node lookup query efficiency can be utilized due to the nature of such applications.…”

Section: Introductionmentioning

confidence: 99%

“…The contributions of this work are the following. First, this work extends and implements a P2P distributed overlay for wireless sensor networks from [12], based on the Chord protocol from [9], which ensures the stability of the wireless sensor network when sensor node devices join or leave the network. Also, the proposed protocol from [12] extended in this work can perform efficient lookup queries to locate a given sensor node device within the sensor network.…”

Section: Introductionmentioning

confidence: 99%

“…First, this work extends and implements a P2P distributed overlay for wireless sensor networks from [12], based on the Chord protocol from [9], which ensures the stability of the wireless sensor network when sensor node devices join or leave the network. Also, the proposed protocol from [12] extended in this work can perform efficient lookup queries to locate a given sensor node device within the sensor network. Due to the decentralized nature of the proposed solution, it is considered that the execution of the join, leave, and lookup operations of the WiCHORD protocol from [12] on a wireless sensor network only uses a small subset of the total network nodes, and therefore, it is deemed that the energy consumption of the devices on the wireless sensor network is significantly reduced, which is important since the sensor devices of the network rely mostly on batteries for power.…”

Section: Introductionmentioning

confidence: 99%

“…Also, the proposed protocol from [12] extended in this work can perform efficient lookup queries to locate a given sensor node device within the sensor network. Due to the decentralized nature of the proposed solution, it is considered that the execution of the join, leave, and lookup operations of the WiCHORD protocol from [12] on a wireless sensor network only uses a small subset of the total network nodes, and therefore, it is deemed that the energy consumption of the devices on the wireless sensor network is significantly reduced, which is important since the sensor devices of the network rely mostly on batteries for power. Apart from the reduction in the energy consumption on the wireless sensor network, the lookup operation of the WiCHORD protocol from [12] lets the user efficiently query a given sensor node device by its unique MAC address and retrieve the current sensor data and status of this sensor node device.…”

Section: Introductionmentioning

confidence: 99%

“…Apart from the reduction in the energy consumption on the wireless sensor network, the lookup operation of the WiCHORD protocol from [12] lets the user efficiently query a given sensor node device by its unique MAC address and retrieve the current sensor data and status of this sensor node device. In essence, the aim of this work is to extend the methodology of [12] and verify its efficiency via simulation.…”

Section: Introductionmentioning

confidence: 99%

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WiCHORD+: A Scalable, Sustainable, and P2P Chord-Based Ecosystem for Smart Agriculture Applications

Balatsouras,

Karras,

Karras

et al. 2023

Sensors

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In the evolving landscape of Industry 4.0, the convergence of peer-to-peer (P2P) systems, LoRa-enabled wireless sensor networks (WSNs), and distributed hash tables (DHTs) represents a major advancement that enhances sustainability in the modern agriculture framework and its applications. In this study, we propose a P2P Chord-based ecosystem for sustainable and smart agriculture applications, inspired by the inner workings of the Chord protocol. The node-centric approach of WiCHORD+ is a standout feature, streamlining operations in WSNs and leading to more energy-efficient and straightforward system interactions. Instead of traditional key-centric methods, WiCHORD+ is a node-centric protocol that is compatible with the inherent characteristics of WSNs. This unique design integrates seamlessly with distributed hash tables (DHTs), providing an efficient mechanism to locate nodes and ensure robust data retrieval while reducing energy consumption. Additionally, by utilizing the MAC address of each node in data routing, WiCHORD+ offers a more direct and efficient data lookup mechanism, essential for the timely and energy-efficient operation of WSNs. While the increasing dependence of smart agriculture on cloud computing environments for data storage and machine learning techniques for real-time prediction and analytics continues, frameworks like the proposed WiCHORD+ appear promising for future IoT applications due to their compatibility with modern devices and peripherals. Ultimately, the proposed approach aims to effectively incorporate LoRa, WSNs, DHTs, cloud computing, and machine learning, by providing practical solutions to the ongoing challenges in the current smart agriculture landscape and IoT applications.

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Section: Introductionmentioning

confidence: 99%