Building of Efficient Communication System in Smart City Using Wireless Sensor Network Through Hybrid Optimization Technique

2022 ◽  
pp. 15-30
Author(s):  
Avishek Banerjee ◽  
Sudip Kumar De ◽  
Koushik Majumder ◽  
Victor Das ◽  
Samiran Chattopadhyay ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Communication System ◽  
Smart City ◽  
Optimization Technique ◽  
Hybrid Optimization ◽  
Wireless Sensor ◽  
Efficient Communication

Analysis of wireless sensor network performance embedded in motorcycle communication system

2015 ◽  
Author(s):  
Jose Javier Martinez ◽  
Peio Lopez-Iturri ◽  
Erik Aguirre ◽  
Leire Azpilicueta ◽  
Constantinos Patsakis ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Communication System ◽  
Network Performance ◽  
Wireless Sensor

scholarly journals Novel Bacteria Foraging Optimization for Energy-efficient Communication in Wireless Sensor Network

2018 ◽  
Vol 8 (6) ◽  
pp. 4755
Author(s):  
Hemavathi P ◽  
Nandakumar A. N.
Keyword(s):  
Wireless Sensor Network ◽  
Swarm Intelligence ◽  
Sensor Network ◽  
Energy Efficient ◽  
Residual Energy ◽  
Optimization Techniques ◽  
Wireless Sensor ◽  
Efficient Communication ◽  
Communication Demands ◽  
Standard Energy

Optimization techniques based on Swarm-intelligence has been reported to have significant benefits towards addressing communication issues in Wireless Sensor Network (WSN). We reviewed the most dominant swarm intelligence technique called as Bacteria Foraging Optimization (BFO) to find that there are very less significant model towards addressing the problems in WSN. Therefore, the proposed paper introduced a novel BFO algorithm which maintains a very good balance between the computational and communication demands of a sensor node unlike the conventional BFO algorithms. The significant contribution of the proposed study is to minimize the iterative steps and inclusion of minimization of both receiving / transmittance power in entire data aggregation process. The study outcome when compared with standard energy-efficient algorithm was found to offer superior network lifetime in terms of higher residual energy as well as data transmission performance.

scholarly journals 3D GEO-CLUSTERING FOR WIRELESS SENSOR NETWORK IN SMART CITY

2019 ◽  
Vol XLII-4/W12 ◽  
pp. 11-16 ◽  
Author(s):  
S. Azri ◽  
U. Ujang ◽  
A. Abdul Rahman
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Smart City ◽  
Clustering Algorithm ◽  
Smart Cities ◽  
Wireless Sensor ◽  
Sensor Technology ◽  
Social Infrastructure ◽  
Head Node

<p><strong>Abstract.</strong> Smart city is a connection of physical and social infrastructure together with the information technology to leverage the collective intelligence of the city. Smart cities depend on a great extent on wireless sensor network to manage and maintain their services. Advanced sensor technologies are used to acquire information and help dealing with issues like air pollution, waste management, traffic optimization, and energy efficiency. However, no matter how much smart city may focus on sensor technology, data that are produced from sensors do not organize themselves in a database. Such tasks require a sophisticated database structure to produce informative data output. Besides that, wireless sensor network requires a proper design to improve the energy efficiency. The design will aid to prolong the lifespan of wireless network efficiently. In this study, we proposed a new technique that will be used to organize the information of wireless sensor network in the spatial database. Specific algorithm which is 3D geo-clustering algorithm is used to tackle several issues of location of the sensor in three-dimensional urban area in smart city. The algorithm is designed to minimizing the overlap among group clusters. Overlap plays an important role for energy efficiency. Thus, detection of sensors in two or more group clusters will avoid it from transmitting the same signal to cluster head node. It is prove that this algorithm would only create 5% to 10% overlap among group clusters. Several experiments are performed in this study to evaluate the algorithm. Based on the simulation results indicate that this algorithm can balance nodes energy consumption and prolong the network’s life span. It also has good stability and extensibility. Several tests are performed to validate the efficiency of the technique to measure the database performance.</p>

Empirical Evaluation of Blockchain Based Remote Data Communication System over Wireless Sensor Network (WSN)

2021 ◽  
Author(s):  
Abolfazl Mehbodniya ◽  
Prikshat Kumar Angra ◽  
V. Hindumathi ◽  
Satyendra Vishwakarma ◽  
P. Rajasekar ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Communication System ◽  
Empirical Evaluation ◽  
Data Communication ◽  
Wireless Sensor ◽  
Remote Data
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