TDMA Algorithm for General EH WSN
Location
Ada, Ohio
Start Date
3-12-2024 12:00 AM
End Date
3-12-2024 12:00 AM
Description
Energy harvesting (EH) technology has big potential to be used in wireless sensor networks (WSNs). It allows networks to have more freedom with how they are set up, due to the lack of the wired power restriction. EH technology presents a few issues that are unsolved by current network algorithms. The biggest one is energy reliability. EH technology cannot consistently generate significant amounts of power, so nodes must be very energy efficient. When energy is not available, the nodes will stop functioning. This causes nodes to lose track of time and data. If that node is the only node forwarding that data, it is lost. Additionally, if the node transmits when gaining enough power, it has a high likelihood of colliding with another node, wasting power. To solve these problems, we propose a TDMA algorithm for general EH WSNs. We allow nodes to listen to each other to get time, allowing the network to recover after a partial power outage. As long as one node in a branch has energy, that branch can recover. Furthermore, if the branches are interconnected into a web, this allows one node to revive the whole network. Additionally, data can propagate from one to multiple nodes, which adds reliability to the data transfer from many hop nodes. Another issue is clock drift, which also leads to collisions. To solve this, we observe the overlap between transmit times. When it becomes an issue, we resync the network. This allows us to resync the network less often, increasing the amount of data collected.
Recommended Citation
Burkholder, Alexander, "TDMA Algorithm for General EH WSN" (2024). College of Engineering Student Research Colloquium. 17.
https://digitalcommons.onu.edu/eng_student_research_colloquium/2024/Presentations/17
TDMA Algorithm for General EH WSN
Ada, Ohio
Energy harvesting (EH) technology has big potential to be used in wireless sensor networks (WSNs). It allows networks to have more freedom with how they are set up, due to the lack of the wired power restriction. EH technology presents a few issues that are unsolved by current network algorithms. The biggest one is energy reliability. EH technology cannot consistently generate significant amounts of power, so nodes must be very energy efficient. When energy is not available, the nodes will stop functioning. This causes nodes to lose track of time and data. If that node is the only node forwarding that data, it is lost. Additionally, if the node transmits when gaining enough power, it has a high likelihood of colliding with another node, wasting power. To solve these problems, we propose a TDMA algorithm for general EH WSNs. We allow nodes to listen to each other to get time, allowing the network to recover after a partial power outage. As long as one node in a branch has energy, that branch can recover. Furthermore, if the branches are interconnected into a web, this allows one node to revive the whole network. Additionally, data can propagate from one to multiple nodes, which adds reliability to the data transfer from many hop nodes. Another issue is clock drift, which also leads to collisions. To solve this, we observe the overlap between transmit times. When it becomes an issue, we resync the network. This allows us to resync the network less often, increasing the amount of data collected.