An adaptive relay node selection algorithm based on opportunity

Zhang, Baoju; Zhang, Cuiping; Mu, Jiasong; Wang, Wei; Xie, Jiazu

doi:10.1186/s13638-017-0880-9

Cited by 10 publications

(3 citation statements)

References 9 publications

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“…Proficient bee colony-clustering protocol (PBC-CP) has been designed based on artificial bee colony (ABC) algorithm by considering node's energy, degree, and distance to access point. In [29], energy and bandwidth management factors play an important role in collaborative relay networks. An opportunity-aware adaptive relay (OAR) for maintaining sensor data quality.…”

Section: Sensor Data Evaluationmentioning

confidence: 99%

Computational Intelligent Sensor-Rank Consolidation Approach for Industrial Internet of Things (IIoT)

Mekala

Patan

Khan

2023

IEEE Internet Things J.

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Continues field monitoring and searching sensor data remains an imminent element emphasizes the influence of the Internet of Things (IoT). Most of the existing systems are concede spatial coordinates or semantic keywords to retrieve the entail data, which are not comprehensive constraints because of sensor cohesion, unique localization haphazardness. To address this issue, we propose deep learning inspired sensor-rank consolidation (DLi-SRC) system that enables 3-set of algorithms. First, sensor cohesion algorithm based on Lyapunov approach to accelerate sensor stability. Second, sensor unique localization algorithm based on rank-inferior measurement index to avoid redundancy data and data loss. Third, a heuristic directive algorithm to improve entail data search efficiency, which returns appropriate ranked sensor results as per searching specifications. We examined thorough simulations to describe the DLi-SRC effectiveness. The outcomes reveal that our approach has significant performance gain, such as search efficiency, service quality, sensor existence rate enhancement by 91%, and sensor energy gain by 49% than benchmark standard approaches.

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Section: Sensor Data Evaluationmentioning

confidence: 99%

Computational Intelligent Sensor-Rank Consolidation Approach for Industrial Internet of Things (IIoT)

Mekala

Patan

Khan

2023

IEEE Internet Things J.

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“…According to [41,42], the BER is based on the SNR or E b /N 0 by applying chirp spread spectrum (CSS), and BER CSS is calculated as the Equation (13).…”

Section: Evaluation Of Link Reliability Using Bermentioning

confidence: 99%

Implicit Overhearing Node-Based Multi-Hop Communication Scheme in IoT LoRa Networks

Mugerwa

Nam

Choi

et al. 2023

Sensors

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Long range (LoRa) is a low-power wide-area technology because it is eminent for robust long-distance, low-bitrate, and low-power communications in the unlicensed sub-GHz spectrum used for the Internet of things (IoT) networks. Recently, several multi-hop LoRa networks have proposed schemes with explicit relay nodes to partially mitigate the path loss and longer transmission time bottlenecks of the conventional single-hop LoRa by focusing more on coverage expansion. However, they do not consider improving the packet delivery success ratio (PDSR) and the packet reduction ratio (PRR) by using the overhearing technique. Thus, this paper proposes an implicit overhearing node-based multi-hop communication (IOMC) scheme in IoT LoRa networks, which exploits implicit relay nodes for performing the overhearing to promote relay operation while satisfying the duty cycle regulation. In IOMC, implicit relay nodes are selected as overhearing nodes (OHs) among end devices with a low spreading factor (SF) in order to improve PDSR and PRR for distant end devices (EDs). A theoretical framework for designing and determining the OH nodes to execute the relay operations was developed with consideration of the LoRaWAN MAC protocol. Simulation results verify that IOMC significantly increases the probability of successful transmission, performs best in high node density, and is more resilient to poor RSSI than the existing schemes.

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“…From the perspective of the energy consumption of wireless sensor networks, Zhang et.al [6] proposed an adaptive relay node selection algorithm based on opportunity. The adaptive algorithm mainly selects potential relay nodes as candidate nodes through the BER(Bit Error Ratio), and the simulations show that the proposed method can extend the life cycle of the network.…”

Section: The Related Workmentioning

confidence: 99%

Relay Node Placement Based on Optimal Transmission Distance in Two-Tiered Sensor Network

Mao

Jiang

2020

IEEE Access

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With the gradual expansion of the application field in wireless sensor networks, the problems of the energy consumption has received more and more attention. In wireless sensor networks, the location of sensor nodes and gateway nodes are usually fixed. To ensure that the energy consumption of the sensor network is minimized during data transmission, it is necessary to optimize the placement of relay nodes. This paper proposes the solution of relay nodes placement based on optimal transmission distance, which can minimize the energy consumption and extend the lifetime of the entire network during the transmission process. This scheme starts with a one-dimensional queue network and calculates the optimal distance for each hop transmission to minimize the energy consumption of the one-dimensional queue network. Due to the poor connectivity of the one-dimensional queue network, the concept of the optimal transmission distance is introduced into two-dimensional network, so that the placement scheme can be divided into the symmetrical relay node placement and the asymmetric relay node placement. Finally, the energy consumption of the network is minimized by properly selecting relay nodes. The simulation show that the proposed relay node placement scheme can reduce the energy consumption of the sensor network and extend the network life cycle.

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An adaptive relay node selection algorithm based on opportunity

Cited by 10 publications

References 9 publications

Computational Intelligent Sensor-Rank Consolidation Approach for Industrial Internet of Things (IIoT)

Computational Intelligent Sensor-Rank Consolidation Approach for Industrial Internet of Things (IIoT)

Implicit Overhearing Node-Based Multi-Hop Communication Scheme in IoT LoRa Networks

Relay Node Placement Based on Optimal Transmission Distance in Two-Tiered Sensor Network

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