An Opportunistic Routing for Energy-Harvesting Wireless Sensor Networks With Dynamic Transmission Power and Duty Cycle

Ren, Qian; Yao, Guangshun

doi:10.1109/access.2022.3222843

Cited by 6 publications

(3 citation statements)

References 34 publications

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“…Ren et al proposed an opportunistic routing algorithm with dynamic transmission power and duty cycling for energy harvesting in WSNs [11]. It adjusts the transmission power of each node based on predicted available energy and energy utilization in the previous slots.…”

Section: Duty Cyclingmentioning

confidence: 99%

“…If there is no neighbor that is closer to the destination, GGF fails, and the packet is dropped. Research efforts have focused on duty-cycled approaches [3,10,11] aimed at improving the network lifetime while maintaining a high delivery guarantee. Guaranteed delivery refers to the success ratio of forwarding a message from the source to the destination, which requires that there is at least one path connecting these two nodes in the network.…”

Section: Introductionmentioning

confidence: 99%

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ECKN: An Integrated Approach for Position Estimation, Packet Routing, and Sleep Scheduling in Wireless Sensor Networks

Bertanha

Pazzi

El-Khatib

2023

Sensors

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Network lifetime and localization are critical design factors for a number of wireless sensor network (WSN) applications. These networks may be randomly deployed and left unattended for prolonged periods of time. This means that node localization is performed after network deployment, and there is a need to develop mechanisms to extend the network lifetime since sensor nodes are usually constrained battery-powered devices, and replacing them can be costly or sometimes impossible, e.g., in hostile environments. To this end, this work proposes the energy-aware connected k-neighborhood (ECKN): a joint position estimation, packet routing, and sleep scheduling mechanism. To the best of our knowledge, there is a lack of such integrated solutions to WSNs. The proposed localization algorithm performs trilateration using the positions of a mobile sink and already-localized neighbor nodes in order to estimate the positions of sensor nodes. A routing protocol is also introduced, and it is based on the well-known greedy geographic forwarding (GGF). Similarly to GGF, the proposed protocol takes into consideration the positions of neighbors to decide the best forwarding node. However, it also considers node residual energy in order to guarantee the forwarding node will deliver the packet. A sleep scheduler is also introduced in order to extend the network lifetime. It is based on the connected k-neighborhood (CKN), which aids in the decision of which nodes switch to sleep mode while keeping the network connected. An extensive set of performance evaluation experiments was conducted and results show that ECKN not only extends the network lifetime and localizes nodes, but it does so while sustaining the acceptable packet delivery ratio and reducing network overhead.

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Section: Duty Cyclingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

ECKN: An Integrated Approach for Position Estimation, Packet Routing, and Sleep Scheduling in Wireless Sensor Networks

Bertanha

Pazzi

El-Khatib

2023

Sensors

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“…Ren et al [22] have presented an OR protocol named ORDPD designed specifically for energy-harvesting wireless sensor networks with dynamic transmission power and duty cycle. In ORDPD, the transmission power of sensor nodes is adjusted at the end of each time slot based on the predicted available energy.…”

Section: Multi-power or Protocolsmentioning

confidence: 99%

Energy-Efficient Multi-Rate Opportunistic Routing in Wireless Mesh Networks

Khah,

Moghim,

Gholami

et al. 2023

IEEE Access

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Opportunistic or anypath routing protocols are focused on improving the performance of traditional routing in wireless mesh networks. They do so by leveraging the broadcast nature of the wireless medium and the spatial diversity of the network. Using a set of neighboring nodes, instead of a single specific node, as the next hop forwarder is a crucial aspect of opportunistic routing protocols, and the selection of the forwarder set plays a vital role in their performance. However, most opportunistic routing protocols consider a single transmission rate and power for the nodes, which limits their potential. To address this limitation, this paper proposes a multi-rate and multi-power opportunistic routing protocol called Energy-efficient Multirate Opportunistic Routing (EMOR). EMOR considers multiple transmission rates and power for each node, and in addition to selecting the forwarder set, it should select the transmission rate and power to reach this set in each node. Using different transmission rates and power levels can enhance EMOR's ability to effectively utilize the spatial diversity of the network. To prioritize the forwarder set, EMOR uses a transmission energy-based routing metric called Expected Opportunistic Transmission Energy (EOTE). EMOR also employs a distributed polynomial algorithm, Multi-rate Multi-power Opportunistic Bellman-Ford (MMOBF), to select the forwarder set, transmission rate, and transmission power in each node, minimizing the cost from the node to the destinations. The simulation results show that EMOR significantly outperforms the multi-rate opportunistic routing and multi-power opportunistic routing in terms of performance metrics such as packet delivery ratio, delay, and energy consumption.

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Energy harvesting in self-sustainable IoT devices and applications based on cross-layer architecture design: A survey

Banotra,

Ghose,

Mishra

et al. 2023

Computer Networks

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An Opportunistic Routing for Energy-Harvesting Wireless Sensor Networks With Dynamic Transmission Power and Duty Cycle

Cited by 6 publications

References 34 publications

ECKN: An Integrated Approach for Position Estimation, Packet Routing, and Sleep Scheduling in Wireless Sensor Networks

ECKN: An Integrated Approach for Position Estimation, Packet Routing, and Sleep Scheduling in Wireless Sensor Networks

Energy-Efficient Multi-Rate Opportunistic Routing in Wireless Mesh Networks

Energy harvesting in self-sustainable IoT devices and applications based on cross-layer architecture design: A survey

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