Energy enhancement and efficient route selection mechanism using H-SWIPT for multi-hop IoT networks

Pavani, B.; Devi, L. Nirmala; Subbareddy, K. V.

doi:10.23919/icn.2022.0013

Cited by 6 publications

(5 citation statements)

References 37 publications

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“…P 2 LoRa [46] is the first ambient LoRa backscatter system with parallel decoding and long-range communication. This work [47] proposes a new energy harvesting mechanism to support continuous communication. Mourade et al [48] propose an enhanced authentication protocol for IoT.…”

Section: Related Workmentioning

confidence: 99%

AlignTrack: Push the SNR Limit of LoRa Collision Decoding

Chen

Wang

2023

IEEE/ACM Trans. Networking

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LoRa has been shown as a promising Low-Power Wide Area Network (LPWAN) technology to connect millions of devices for the Internet of Things by providing long-distance low-power communication when the SNR is very low. Real LoRa networks, however, suffer from severe packet collisions. Existing collision resolution approaches introduce a high SNR loss, i.e., require a much higher SNR than LoRa. To push the limit of LoRa collision decoding, we present AlignTrack, the first LoRa collision decoding approach that can work in the SNR limit of the original LoRa. Our key finding is that a LoRa chirp aligned with a decoding window should lead to the highest peak in the frequency domain and thus has the least SNR loss. By aligning a moving window with different packets, we separate packets by identifying the aligned chirp in each window. We theoretically prove this leads to the minimal SNR loss. In practical implementation, we address two key challenges: (1) accurately detecting the start of each packet, and (2) separating collided packets in each window in the presence of CFO and inter-packet interference. We implement AlignTrack on HackRF One and compare its performance with the state-of-the-arts. The evaluation results show that AlignTrack improves network throughput by 1.68× compared with NScale and 3× compared with CoLoRa.

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Section: Related Workmentioning

confidence: 99%

AlignTrack: Push the SNR Limit of LoRa Collision Decoding

Chen

Wang

2023

IEEE/ACM Trans. Networking

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“…Babruvhan and Thippeswamy [33] proposed SWIPTbased energy-efficient packet transmission between the clusters in WSNs. In this transmission, each CH harvested energy from its member nodes, and this energy was spent on data collection and transmission.…”

Section: Related Workmentioning

confidence: 99%

Relay-assisted wireless energy harvesting for multihop clustered IoT network

Pavani,

Subbareddy,

Devi

2023

Intell. and Converged Netw.

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In large-scale networks such as the Internet of Things (IoT), devices seek multihop communication for longdistance communications, which considerably impacts their power exhaustion. Hence, this study proposes an energy harvesting-enabled, relay-based communication in multihop clustered IoT networks in a bid to conserve the battery power in multihop IoT networks. Initially, this study proposes an efficient, hierarchical clustering mechanism in which entire IoT devices are clustered into two types: the closest cluster (CC) and remote clusters (RCs). Additionally, Euclidean distance is employed for the CC and fuzzy c-means for the RCs. Next, for cluster head (CH) selection, this study models a fitness function based on two metrics, namely residual energy and distance (device-to-device distance and device-to-sink distance). After CH selection, the entire clustered network is partitioned into several layers, after which a relay selection mechanism is applied. For every CH of the upper layer, we assign a few lower-layer CHs to function as relays. The relay selection mechanism is applied only for the devices in the RCs, while for devices in the CC, the CH functions as a relay. Finally, several simulation experiments are conducted to validate the proposed method's performance. The results show the method's superiority in terms of energy efficiency and optimal number of relays in comparison with the state-of-the-art methods.

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“…For safety reasons, a dependable model should properly conserve battery life. The design must be resilient against a wide variety of threats, including eavesdropping, manufacturing, injection, modification, and node capture [7]. Most research into WSN security focuses on key management, secure placement, secure routing, attacks, and prevention.…”

Section: Security Issues In Wsnmentioning

confidence: 99%

“…If the RF signal is weak, the collected energy won't be enough to maintain constant communication. Pavani et al [7] proposed a novel energy harvesting mechanism that takes into account a number of different sources (MS), including the broadcast energy from a sink, co-channel interference, the RF signal from neighbouring nodes, and the RF signal from the node that immediately preceded it in the hop chain. A novel SWIPT architecture, hybrid SWIPT (H-SWIPT), is proposed to achieve this goal by fusing the time switching (TS) and power splitting (PS) approaches.…”

Section: Literature Surveymentioning

confidence: 99%

Secure Route Detection with Multi Level Trust Evaluation Model Using Replicated Auditor Node for Extended Packet Delivery Rate in WSN

Chaitanya,

Dhanabalan

2023

RIA

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Wireless sensor networks (WSNs) are designed to monitor their surroundings, an application that has been leveraged significantly by advances in the Internet of Things (IoT). However, the susceptibility of wireless systems to errors and malicious attacks remains a challenge. Identity deception, particularly, has emerged as a significant issue, exacerbated by the redundancy of multi-hop routing, leading to potentially damaging attacks on routing protocols. Routing, the method employed in WSNs to disseminate data to base stations, has recently seen the incorporation of trust mechanisms to enhance security and foster cooperation among nodes. Routing decisions are made based on the anticipated trustworthiness of individual nodes. Considering the vulnerability of WSNs to various attacks, secure routing is of paramount importance. In this research, we propose a Multi-Level Trust Evaluation Model using Replicated Auditor Node (MLTEM-RAN) for secure route detection. This model aims at maximizing the packet delivery rate. It takes into account information about each relay node along the path, including the trust value and the current condition of each node. The trust value of a node is defined as the attack probability of the node, which is based on historical behaviors. The node's status, on the other hand, is a composite measure that considers both the node's remaining energy and its distance to the sink node. When compared with existing models, the proposed MLTEM-RAN model demonstrates superior performance in terms of packet delivery rate. This study thus represents a significant step forward in the development of secure and efficient routing strategies for WSNs.

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Energy enhancement and efficient route selection mechanism using H-SWIPT for multi-hop IoT networks

Cited by 6 publications

References 37 publications

AlignTrack: Push the SNR Limit of LoRa Collision Decoding

AlignTrack: Push the SNR Limit of LoRa Collision Decoding

Relay-assisted wireless energy harvesting for multihop clustered IoT network

Secure Route Detection with Multi Level Trust Evaluation Model Using Replicated Auditor Node for Extended Packet Delivery Rate in WSN

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