Advisor(s)

Dr. Ahmed Ammar

Confirmation

1

Document Type

Poster

Location

ONU McIntosh Center; McIntosh Activities Room

Start Date

21-4-2023 12:00 PM

End Date

21-4-2023 12:50 PM

Abstract

Energy harvesting has been recently proposed for wireless sensor networks to improve their energy efficiency and drastically reduce the maintenance costs of replacing batteries. However, energy harvesting is a stochastic process that imposes an energy availability constraint on the system design. Thus, traditional protocols and algorithms, including synchronization, communication, scheduling, and networking, will not be suitable for energy-harvesting wireless networks. Therefore, we propose a novel Time Division Multiplexing Algorithm for a single-hop energy-harvesting wireless sensor network. The algorithm synchronizes the nodes based on less frequent synchronization messages from the coordinator node. The algorithm is implemented on a network of four nodes—three nodes are senders while one node is a coordinator. Initial results show that the proposed algorithm reduces power consumption and improves message latency compared to the state-of-the-art.

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Restricted to ONU Community

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Available to ONU community via local IP address and ONU login.

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Apr 21st, 12:00 PM Apr 21st, 12:50 PM

Low Power Consumption TDMA Algorithm for Energy Harvesting Wireless Sensor Networks

ONU McIntosh Center; McIntosh Activities Room

Energy harvesting has been recently proposed for wireless sensor networks to improve their energy efficiency and drastically reduce the maintenance costs of replacing batteries. However, energy harvesting is a stochastic process that imposes an energy availability constraint on the system design. Thus, traditional protocols and algorithms, including synchronization, communication, scheduling, and networking, will not be suitable for energy-harvesting wireless networks. Therefore, we propose a novel Time Division Multiplexing Algorithm for a single-hop energy-harvesting wireless sensor network. The algorithm synchronizes the nodes based on less frequent synchronization messages from the coordinator node. The algorithm is implemented on a network of four nodes—three nodes are senders while one node is a coordinator. Initial results show that the proposed algorithm reduces power consumption and improves message latency compared to the state-of-the-art.