Performance of a Cluster-Based Multihop IoT Network With Battery-Assisted Energy Harvesting

This work investigates a multihop multirelay network in which all nodes are of the battery-assisted (BA) energy harvesting (EH) type, and harvest energy from a power beacon. In each hop, the node with the most harvested energy is selected for relaying and augments the harvested energy with some battery energy. Note that such BA EH nodes are immediately realizable to prolong battery lifetimes. Considering nonlinear EH, analytical expressions are derived for outage probability, throughput, average battery energy consumption, and battery energy efficiency (BEE). It is first shown how the parameters can be chosen to maximize the network throughput. Since unsuccessful relaying that results in outage causes battery energy to be consumed, optimizing the network to minimize the average battery energy consumption or to maximize the node-level BEE is well motivated. We show that the judicious selection of the EH duration can minimize average battery energy consumption while achieving the target throughput requirement. Moreover, a joint optimal choice of EH duration, hop count, and target information rate is shown to maximize overall BEE. Monte Carlo simulations validate the accuracy of the derived expressions.

Authors

Institutions

Publication Details

Journal
IEEE Internet of Things Journal
Published
2024-11-04
DOI
https://doi.org/10.1109/jiot.2024.3490794
Citations
7
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
1.46

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance of a Cluster-Based Multihop IoT Network With Battery-Assisted Energy Harvesting

Shankar Prakriya, Kamal Agrawal, Amar Kumar Mishra
7 citations
IEEE Internet of Things Journal
Energy Harvesting in Wireless Networks
1.46
article

Performance of a Cluster-Based Multihop IoT Network With Battery-Assisted Energy Harvesting

Shankar Prakriya, Kamal Agrawal, Amar Kumar Mishra
article en
7 citations

Abstract

This work investigates a multihop multirelay network in which all nodes are of the battery-assisted (BA) energy harvesting (EH) type, and harvest energy from a power beacon. In each hop, the node with the most harvested energy is selected for relaying and augments the harvested energy with some battery energy. Note that such BA EH nodes are immediately realizable to prolong battery lifetimes. Considering nonlinear EH, analytical expressions are derived for outage probability, throughput, average battery energy consumption, and battery energy efficiency (BEE). It is first shown how the parameters can be chosen to maximize the network throughput. Since unsuccessful relaying that results in outage causes battery energy to be consumed, optimizing the network to minimize the average battery energy consumption or to maximize the node-level BEE is well motivated. We show that the judicious selection of the EH duration can minimize average battery energy consumption while achieving the target throughput requirement. Moreover, a joint optimal choice of EH duration, hop count, and target information rate is shown to maximize overall BEE. Monte Carlo simulations validate the accuracy of the derived expressions.

IEEE Internet of Things JournalVol. 12(5)
Shiv Nadar University (IN), Indian Institute of Technology Delhi (IN)
Science and Engineering Research Board
Affordable and clean energy
Openalex Percentile: Top 17%
Energy Harvesting in Wireless Networks
1.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Performance of a Cluster-Based Multihop IoT Network With Battery-Assisted Energy Harvesting — Shankar Prakriya, Kamal Agrawal, et al. · IEEE Internet of Things Journal (2024) | TGRS Research Map | TGRS