Data Aggregation in Heterogeneous Wireless Sensor Networks by Using Local Tree Reconstruction Algorithm

Zhang, Zhaohui; Li, Jing; Yang, Xiaoli

doi:10.1155/2020/3594263

Cited by 9 publications

(4 citation statements)

References 34 publications

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“…The requirement for a locally generated reference (LGR) and the complex issue of LGR sync can be eliminated by transmitting a link (reference) with the data. Because TR systems use the portion of the energy output for the signal's reference part, The elimination and difficulty of LGR are at the expense of losing the potential for data transmission [24].…”

Section: Tr-uwb and Fsr-uwbmentioning

confidence: 99%

Performance Comparison of TR and FSRUWB System Using Particle Filter: Effects of Frequency, Data Rate, Multi-Path and Multi-Channel Communication

Raskar¹,

Lahudkar²

2022

IJRITCC

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In this study, we introduced a novel scheme based on Transmitted References (TR) and Frequency Shifted Reference (FSR) for ultra-wideband (UWB) system. By taking into account tracking loop-based particle filtering together with a data collecting approach for single and multi-path channel situations, the suggested method is an enhanced model. Each particle's location is determined using this filtering technique, which is then utilised to calculate the timing inaccuracy and regulate the UWB system's timing pulse. Also, it can tackle the multimodal distribution of errors then effectively approximate the optimal solution. The data distribution is discretised via a number of particles that are weighted samples evolving concerning time duration. The simulation results show that, in terms of error rate, number of particles, and delay response, the recommended model of FSR-UWB with particle filter performs better than the TR-UWB with and without considering particle filter.

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Section: Tr-uwb and Fsr-uwbmentioning

confidence: 99%

Performance Comparison of TR and FSRUWB System Using Particle Filter: Effects of Frequency, Data Rate, Multi-Path and Multi-Channel Communication

Raskar¹,

Lahudkar²

2022

IJRITCC

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“…Yao et al [26] have proposed an energy-adaptive and bottleneck-aware tree-based communication scheduling for battery-free WSNs, and the simulations show that the algorithm has high performance in terms of communication atency and energy usage ratio. Zhang et al [27] proposed an optimal tree-based topology in order to meet the requirements of big data transmission by improving ocal optimization relative to global optimization.…”

Section: Related Workmentioning

confidence: 99%

“…When the data within the cluster are collected, the cluster head needs to transfer the data to Sink. Researchers [10,16,27,35] often employ the following four strategies: (1) The cluster heads transmit the collected data to Sink directly through one hop. (2) The Sink uses the greedy algorithm to construct a multi-hop routing to the cluster heads, and there are only cluster heads in the routing.…”

Section: Our Proposed Odtd-li Algorithmmentioning

confidence: 99%

Optimal Data Transmission for WSNs with Data-Location Integration

Min

2021

Symmetry

Self Cite

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Wireless sensor networks (WSNs) have good performance for data transmission, and the data transmission of sensor nodes has the function of symmetry. However, the wireless sensor nodes are facing great pressure in data transmission due to the increasing amount and types of data that easily cause premature energy consumption of some nodes and, thus, affects data transmission. Clustering algorithm is a common method to balance energy consumption, but the existing algorithms fail to balance the network oad effectively for big data transmission. Therefore, an optimal data transmission with data-location integration (ODTD-LI) is proposed for WSNs in this paper. For optimal data transmission, we update the network topology once for one round. In the proposed algorithm, we perform calculations of the optimal cluster heads, clustering and data transmission routing through three steps. We first deploy N homogeneous and symmetry nodes in a square area randomly and calculate the optimal number of cluster heads according to the node ocations. then, the optimal number of cluster heads, energy consumption, the distances and degrees of the nodes are taken into consideration during the clustering phase. Direct communication is carried out within a cluster, and the member nodes of the cluster pass the information directly to the cluster head. Lastly, an optimal hybrid routing from each cluster node to Sink is constructed for data transmission after clustering. The simulations verify the good performance of the proposed algorithm in view of the ifetime, average delay, coverage rate (CR) and oad balance of the network compared with the existing algorithms. Through the research conducted in this paper, we find that our work has good performance for selecting the hybrid routing in the network with the nodes randomly arranged.

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“…Depending on the application, the WSN might have hundreds to thousands of nodes, all of which may be connected in a network. Each node comprises a radio transceiver with an internal or external antenna, microprocessor, electronic circuit for sensor interface, and power source, such as batteries [3]. The nodes utilized in a WSN are typically small and powered by batteries or solar panels [4].…”

Section: Introductionmentioning

confidence: 99%

Sensor-System-Based Network with Low-Power Communication Using Multi-Hop Routing Protocol Integrated with a Data Transmission Model

Midasala

Janapati²,

Sreenivasu³

et al. 2022

Electronics

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Wireless sensor networks (WSNs) comprise several cooperating sensor nodes capable of sensing, computing, and transmitting sensed signals to a central server. This research proposes a sensor system-based network with low power communication using swarm intelligence integrated with multi-hop communication (SIMHC). This routing protocol selects the optimal route based on link distance, transmission power, and residual energy to optimize the network lifetime and node energy efficiency. Moreover, adaptive clustering-based locative data transmission (ACLDT) is applied for optimizing data transmission. The proposed approach combines clustering with data transfer via location-based routing and low-power communication in two phases to calculate the ideal cluster heads (CHs). First, a CH seeks the next hop from the nearest CH. Then, a path to the base station is formed by developing CH chains. The results reveal that the proposed sensor system based on data transmission and low-power consumption achieved a network lifetime of 96%, an average delay of 53 ms, a coverage rate (CR) of 83%, a throughput of 97%, and energy efficiency of 95%.

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Data Aggregation in Heterogeneous Wireless Sensor Networks by Using Local Tree Reconstruction Algorithm

Cited by 9 publications

References 34 publications

Performance Comparison of TR and FSRUWB System Using Particle Filter: Effects of Frequency, Data Rate, Multi-Path and Multi-Channel Communication

Performance Comparison of TR and FSRUWB System Using Particle Filter: Effects of Frequency, Data Rate, Multi-Path and Multi-Channel Communication

Optimal Data Transmission for WSNs with Data-Location Integration

Sensor-System-Based Network with Low-Power Communication Using Multi-Hop Routing Protocol Integrated with a Data Transmission Model

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