scholarly journals Protocol-Independent Data Acquisition for Precision Farming

2021 ◽  
Vol 25 (4) ◽  
pp. 397-403
Author(s):  
Jonnel D. Alejandrino ◽  
◽  
Ronnie S. Concepcion II ◽  
Vincent Jan D. Almero ◽  
Maria Gemel Palconit ◽  
...  
Keyword(s):  
Optimal Design ◽  
Data Acquisition ◽  
Bit Error Rate ◽  
Error Rate ◽  
Large Scale ◽  
Optimal Path ◽  
Mesh Network ◽  
Independent Data ◽  
Interorganizational Communication ◽  
Routing Mechanism

This paper proposes an optimal design of network and a routing mechanism that is independent from fixed protocols. It provides an optimized route for diversified mesh network, which can support interorganizational communication in a large-scale operation. Decentralization of the system ensures that every protocol acts independently and selects the best optimal path during transmission of data without modifying their architecture and technology. Incorporation of definite source configuration improves the mobility of the systems. Each sensor is individually processed to balance the data load and prevent congestion. Simple transmit-receive test is performed by circulating messages of increasing size between end sensors and network destination. The proposed technique is considered to be effective in terms of interoperability speed, data accuracy and bit error rate (BER) with an increment of 27.13%, 99.98%, and 15.12%, respectively. Finally, the test demonstrates its expediency in terms of adaptability and scalability.

Performance Evaluation of Spatial Multiplexing Using Different Modulation Techniques in MIMO System for Small and Large Scale Fading Channel

2019 ◽  
Vol 9 (2) ◽  
pp. 188-202 ◽  
Author(s):  
Akhil Gupta ◽  
Shiwani Dogra ◽  
Ishfaq Bashir Sofi
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Fading Channel ◽  
Large Scale ◽  
Mimo System ◽  
Multiple Input Multiple Output ◽  
Wireless Channel ◽  
Spatial Multiplexing ◽  
Wireless Medium ◽  
Wireless Channel Models

Background & Objective: In this paper, Multiple Input Multiple Output (MIMO) has been examined in wireless medium by utilizing Spatial Multiplexing procedure for the computation of the Bit Error Rate (BER). MIMO enhance the throughput in wireless medium. Spatial multiplexing builds the limit and link reliability of the MIMO frameworks. Methods: The BER execution of DPSK, Phase Shift Keying (PSK) and Quadrature Amplitude Modulation (QAM) in MIMO frameworks in Rayleigh multipath channel is analyzed. Zero forcing algorithms is utilized as a detection technique. A comparison of these modulations is additionally done in Rayleigh fading channel. Conclusion: The execution of transmission modes are assessed by figuring the likelihood of Bit Error Rate (BER) vs. the Signal Noise Ratio (SNR) under the every now and utilized four wireless channel models (Rayleigh, Dent, Jake’s and Okumura).

scholarly journals Performance of TCP CUBIC and TCP BBR on IEEE802.11s Mesh Network

2020 ◽  
pp. 639-645
Author(s):  
Katsuya Atsuta ◽  
◽  
Satoshi Kouya ◽  
Naoshi Sakamoto
Keyword(s):  
Congestion Control ◽  
Bit Error Rate ◽  
Error Rate ◽  
Control Algorithm ◽  
Loss Probability ◽  
Mesh Network ◽  
Propagation Time ◽  
Round Trip ◽  
Communication Performance ◽  
Congestion Control Algorithm

In this study, IEEE802.11s mesh networking was formulated as it expected to be widely used because of its convenience. The properties of IEEE802.11s mesh networking were investigated and the results revealed its faulty communication performance in a multi-hop network. This could be explained based on Mathis’s theory for loss-based TCP congestion control algorithm that suggests that with an increase in delay, the loss probability decreases the communication performance. Recently, Google proposed TCP Bottleneck Bandwidth and Round-trip propagation time (BBR), both of which may tolerate a high bit error rate. This algorithm does not follow Mathis’s model. In this study, we measure the performance of TCP CUBIC and TCP BBR on a mesh network, followed by an evaluation of the properties of this mesh network.

Towards Design of an Efficient Sensing Data Acquisition scheme for UAVs-assisted Wireless Sensor Networks

2022 ◽  
Vol 13 (2) ◽  
pp. 0-0
Keyword(s):  
Path Planning ◽  
Data Acquisition ◽  
Large Scale ◽  
Cluster Formation ◽  
Optimal Path ◽  
Research Work ◽  
Planning Problem ◽  
Sensing Data ◽  
Planning Algorithm ◽  
Load Balanced

This paper investigates sensing data acquisition issues from large-scale hazardous environments using UAVs-assisted WSNs. Most of the existing schemes suffer from low scalability, high latency, low throughput, and low service time of the deployed network. To overcome these issues, we considered a clustered WSN architecture in which multiple UAVs are dispatched with assigned path knowledge for sensing data acquisition from each cluster heads (CHs) of the network. This paper first presents a non-cooperative Game Theory (GT)-based CHs selection algorithm and load balanced cluster formation scheme. Next, to provide timely delivery of sensing information using UAVs, hybrid meta-heuristic based optimal path planning algorithm is proposed by combing the best features of Dolphin Echolocation and Crow Search meta-heuristic techniques. In this research work, a novel objective function is formulated for both load-balanced CHs selection and for optimal the path planning problem. Results analyses demonstrate that the proposed scheme significantly performs better than the state-of-art schemes.

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