Design of a location-based opportunistic geographic routing protocol

Li, Linqi; Wang, Xiaoyin; Ma, Xiaomin

doi:10.1016/j.comcom.2021.10.030

Cited by 10 publications

(3 citation statements)

References 19 publications

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“…It is an important metric in improving reliability. NS is estimated based on the degree of node mobility over time and the neighborhood density based on Equation (16). Thus, Nbrofnodesin k (t) and Nbrofnodesout k (t) are equivalent to the number of neighboring nodes that are added and exited from the area covered by node k in Δt, respectively.…”

Section: Neighbors Recognitionmentioning

confidence: 99%

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RQAR: Location‐free reliable and QoS‐aware routing protocol for mobile sink underwater wireless sensor networks

Shahraki

Emadi

Ayatollahitafti

et al. 2023

Int J Communication

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Summary Underwater Wireless Sensor Networks (UWSNs) have attracted attention from academics and industries due to many applications such as pollution monitoring, military, tsunami warning, and underwater exploration. One of the effective factors in these applications is efficient communication between underwater sensors. But this process is very challenging in UWSNs due to special conditions and underwater harsh environments. Therefore, designing routing protocols for efficient communication between sensors and sink is an important issue in UWSNs. In this context, this paper proposed a location‐free Reliable and QoS‐Aware Routing (RQAR) protocol for mobile sink UWSNs. RQAR designed using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and does not require the position information of the sensor nodes, which is cumbersome and difficult to obtain. Proposed protocol considers multiple parameters including link quality, hop count, congestion, and residual energy for qos support, and reliable data delivery RQAR also minimizes the effects of hole occurrence by increasing the transmission range as much as possible and ensures communication stability. The simulation results using NS2 showed the superiority of RQAR in improving end‐to‐end delay, packet delivery ratio, and network throughput compared to the previous methods.

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Section: Neighbors Recognitionmentioning

confidence: 99%

“…Therefore, location-free routing methods have been more popular. 15,16 Existing location-free routing methods suffers from a lack of effective measures to combine important network parameters for next hop node selections. So there are reduced reliability, increased data loss and resends, and higher energy consumption.…”

mentioning

confidence: 99%

RQAR: Location‐free reliable and QoS‐aware routing protocol for mobile sink underwater wireless sensor networks

Shahraki

Emadi

Ayatollahitafti

et al. 2023

Int J Communication

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show abstract

“…In addition, the researchers also proposed the opportunistic routing protocol based on the iterative method, such as: LCOR [33], OAPF [34], and BitSOR [35] etc. The forwarding process is divided into two stages in these protocols: one is the transmission process of the current node forwarding to the candidate forwarding node, and the other is the transmission process of the candidate forwarding node forwarding to the target node [36][37][38].…”

Section: Related Workmentioning

confidence: 99%

Low Energy Consumption Routing Protocol for Oil and Gas Pipeline Internet of Things

Miao

Liu

et al. 2022

Preprint

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For ensuring effective monitoring oil and gas pipelines deployed in the field or arears with poor environment, the wireless sensor network with flexibility, scalability and ease installation has become the basis of the Oil and Gas Pipeline Internet of Things (OGP-IoT). The energy limitation of sensor nodes is the key factor to restrict the performance of OGP-IoT. In addition, the end-to-end delay of the network determines the response time of OGP-IoT to pipeline accidents. It is also the key parameter to improve the real-time performance of OGP-IoT. For solving the problems of energy limitation and end-to-end delay, the Pipeline Internet of Things—Low Energy Consumption Routing Protocol (PIoT-LERP) is proposed in the paper. It can realize the energy balance of the Internet of Things by taking the remaining energy of nodes and the distance between nodes and aggregation nodes as the index of selecting candidate forwarding nodes. So, the life of network is extended and the end-to-end delay of the network is reduced by decreasing the number of data transmission hops. The simulation results show that PIoTLERP can effectively improve the network performance by extending the network life and reducing the network delay comparing with the classical opportunistic routing protocols ExOR and RE-OR.

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An efficient multicast multi-rate reinforcement learning based opportunistic routing algorithm

Hashemi

Moghim

2023

Multimed Tools Appl

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Design of a location-based opportunistic geographic routing protocol

Cited by 10 publications

References 19 publications

RQAR: Location‐free reliable and QoS‐aware routing protocol for mobile sink underwater wireless sensor networks

RQAR: Location‐free reliable and QoS‐aware routing protocol for mobile sink underwater wireless sensor networks

Low Energy Consumption Routing Protocol for Oil and Gas Pipeline Internet of Things

An efficient multicast multi-rate reinforcement learning based opportunistic routing algorithm

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