scholarly journals Peningkatan Network Lifetime Menggunakan Cluster Based Pada Wireless Sensor Network

2020 ◽  
Vol 4 (01) ◽  
pp. 16-21
Author(s):  
Muhammad Hibrian Wiwi ◽  
Wardi Wardi ◽  
Agussalim Agussalim
Keyword(s):  
Wireless Sensor Network ◽  
Power Consumption ◽  
Sensor Network ◽  
Network Lifetime ◽  
Data Transmission ◽  
Wireless Sensor ◽  
Network Simulator ◽  
Research Activities ◽  
Leach Protocol

This series of research activities are in the form of a routing simulation using the LEACH protocol as a cluster-based mechanism method that can improve Network Lifetime in the Wireless Sensor Network protocol, using the Network Simulator 2 application device that describes data transmission, remaining nodes, and energy used. Determination of the performance and power consumption of the wireless sensor network by testing scenario one to scenario five due to the influence of the cluster to be applied, such as scenario 1 using 1 cluster (C1) consumes an average of the energy of 0.155 joules and the data sent or obtained is 72,848 bytes. Barriers or disruptions to the clusterhead affect the performance of LEACH, so there is a need for criteria or conditions to determine which nodes should be used as clusterhead.

scholarly journals Improved energy-balanced algorithm for underwater wireless sensor network based on depth threshold and energy level partition

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Pan Feng ◽  
Danyang Qin ◽  
Ping Ji ◽  
Min Zhao ◽  
Ruolin Guo ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Energy Level ◽  
Sensor Network ◽  
Network Lifetime ◽  
Data Transmission ◽  
Routing Algorithms ◽  
Superior Performance ◽  
Wireless Sensor ◽  
Energy Consumption Optimization ◽  
Energy Balanced Routing

Abstract Considering the insufficient global energy consumption optimization of the existing routing algorithms for Underwater Wireless Sensor Network (UWSN), a new algorithm, named improved energy-balanced routing (IEBR), is designed in this paper for UWSN. The algorithm includes two stages: routing establishment and data transmission. During the first stage, a mathematical model is constructed for transmission distance to find the neighbors at the optimal distances and the underwater network links are established. In addition, IEBR will select relays based on the depth of the neighbors, minimize the hops in a link based on the depth threshold, and solve the problem of data transmission loop. During the second stage, the links built in the first stage are dynamically changed based on the energy level (EL) differences between the neighboring nodes in the links, so as to achieve energy balance of the entire network and extend the network lifetime significantly. Simulation results show that compared with other typical energy-balanced routing algorithms, IEBR presents superior performance in network lifetime, transmission loss, and data throughput.

scholarly journals A wireless sensor network for high-tech agriculture

2020 ◽  
Vol 3 (4) ◽  
pp. 259-270
Author(s):  
Nhan Chi Nguyen ◽  
Hoang Huy Nguyen ◽  
Tuan Ngoc Pham
Keyword(s):  
Wireless Sensor Network ◽  
Power Consumption ◽  
Low Power ◽  
Sensor Network ◽  
Data Transmission ◽  
Urban Environments ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
High Tech ◽  
Area Network

This paper presents the design of wireless sensor network (WSN) based on low-power wide area network technology for high-tech agriculture. This WSN allows the farmer to collect data such as air temperature, air humidity, soil moisture. The WSN system consists of components: 02 wireless sensor nodes, 01 gateway, 01 cloud server and smartphone app. This WSN tested for data transmission in two zones: zone 1 (dense urban environments) at a distance of 500m and zone 2 (urban environments - less obstacles) at a distance of 1,500m and 1,700m. The data collected at different times of the day and updated every 15 minutes. The results show that the wireless sensor network system operates stably, data constantly updated to LoRa Server and there was not data packet loss. The power consumption of sensor node and gateway determined in three operating modes: transmitting, receiving, turn-off. This shows the advantages of LoRa technology in the development of wireless sensor network which is the distance of data transmission distance and low power consumption. Besides this WSN also tested in the net house of aquaponics of the Research Center for High-tech Application in Agriculture (RCHAA), University of Science, Vietnam National University-HCM. The results show that the WSN system is working reliably and promising which brings significantly benefits to smart agriculture as aquaponics, clean vegetable farms, aquaculture farms…

scholarly journals Pollination Inspired Clustering Model for Wireless Sensor Network Optimization

2021 ◽  
Vol 3 (3) ◽  
pp. 196-207
Author(s):  
Subarna Shakya
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Fault Tolerance ◽  
Sensor Network ◽  
Network Lifetime ◽  
Data Transmission ◽  
Management Strategy ◽  
Wireless Sensor ◽  
Clustering Model ◽  
Proposed Model

Remote and dangerous fields that are expensive, complex, and unreachable to reach human insights are examined with ease using the Wireless Sensor Network (WSN) applications. Due to the use of non-renewable sources of energy, challenges with respect to the network lifetime, fault tolerance and energy consumption are faced by the self-managed networks. An efficient fault tolerance technique has been provided in this paper as an effective management strategy. Using the network and communication nodes, revitalization and fault recognition techniques are used for handling diverse levels of faults in this framework. At the network nodes, the fault tolerance capability is increased by the proposed protocol model and management strategy. This enhances the corresponding data transmission in the network. When compared to the conventional techniques, the proposed model increases the network lifetime by five times. It is observed from the validation results that, with a 10% increase in the network lifetime, there is a 2% decrease in the fault tolerance proficiency of the network. The network lifetime and data transmission rate are improved while the network energy consumption is reduced significantly. The MATLAB environment is used for simulation purpose. In terms of energy consumption, network lifetime and fault tolerance, the proposed model offers optimal results.

scholarly journals An enhancement of path selection to cluster head based on multi-hop routing in two-tier wireless sensor network

2019 ◽  
Vol 9 (6) ◽  
pp. 5360
Author(s):  
Wan Isni Sofiah Wan Din ◽  
Asyran Zarizi Bin Abdullah ◽  
Razulaimi Razali ◽  
Ahmad Firdaus ◽  
Salwana Mohamad ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Data Transmission ◽  
Cluster Head ◽  
Threshold Value ◽  
Path Selection ◽  
Sensor Nodes ◽  
Wireless Sensor

<span lang="EN-US">Wireless Sensor Network (WSN) is a distributed wireless connection that consists many wireless sensor devices. It is used to get information from the surrounding activities or the environment and send the details to the user for future work. Due to its advantages, WSN has been widely used to help people to collect, monitor and analyse data. However, the biggest limitation of WSN is about the network lifetime. Usually WSN has a small energy capacity for operation, and after the energy was used up below the threshold value, it will then be declared as a dead node. When this happens, the sensor node cannot receive and send the data until the energy is renewed. To reduce WSN energy consumption, the process of selecting a path to the destination is very important. Currently, the data transmission from sensor nodes to the cluster head uses a single hop which consumes more energy; thus, in this paper the enhancement of previous algorithm, which is MAP, the data transmission will use several paths to reach the cluster head. The best path uses a small amount of energy and will take a short time for packet delivery. The element of Shortest Path First (SPF) Algorithm that is used in a routing protocol will be implemented. It will determine the path based on a cost, in which the decision will be made depending on the lowest cost between several connected paths. By using the MATLAB simulation tool, the performance of SPF algorithm and conventional method will be evaluated. The expected result of SPF implementation will increase the energy consumption in order to prolong the network lifetime for WSN.</span>

scholarly journals Performance metric analysis of modified LEACH routing protocol in wireless sensor network

2017 ◽  
Vol 7 (1.5) ◽  
pp. 196 ◽  
Author(s):  
Raghul Priyadarshi ◽  
Hitesh Tripathi ◽  
Abhyuday Bhardwaj ◽  
Ankush Thakur
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Routing Protocol ◽  
Network Size ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Performance Metric ◽  
Leach Protocol ◽  
Network Process

The lifetime of a network is reflected as one of the vital concerns in wireless sensor network because of a huge number of nodes and further its density and distribution. When the network size increases then routing protocol becomes one of the crucial issues that which routing protocol one should use so that network lifetime to be enhanced. Furthermore, sensor nodes must be alive to promise that network process must continue without any interruption or any loss of data in the network. In fact, there are a lot of clustering method is there to augment the network lifetime. But in this paper, presented routing protocol that is based on existing LEACH protocol called as K-mean clustering routing (KLEACH). Simulation results show that efficiency of the network has been improved and network lifetime has been also enhanced compared to existing LEACH protocol. Network lifetime of KLEACH protocol is almost increased by 40% and energy consumption is also decrease by almost 38% which reflects the good agreement of KLEACH algorithm compared to existing algorithm.

Performance Analysis Of LEACH Protocol For Wireless Sensor Network

2014 ◽  
Vol 3 (1) ◽  
pp. 12-16
Author(s):  
Mohit Mungali ◽  
◽  
Rajesh Singh ◽  
Hardwari Lal Mandoria ◽  
◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Performance Analysis ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Leach Protocol

An Energy Efficient Estimation Algorithm for Wireless Sensor Network

2011 ◽  
Vol 216 ◽  
pp. 176-180
Author(s):  
Yong Ding ◽  
Yue Mei Su
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Energy Efficient ◽  
Estimation Algorithm ◽  
Efficient Estimation ◽  
Wireless Sensor ◽  
Estimation Algorithms ◽  
Current Energy

Wireless Sensor Networks functionality is closely related to network lifetime which depends on the energy consumption, so require energy- efficient protocols to improve the network lifetime. According to the analysis and summary of the current energy efficient estimation algorithms in wireless sensor network An energy-efficient algorithm is proposed,. Then this optimization algorithm proposed in the paper is adopted to improve the traditional diffusion routing protocol. Simulation results show that this algorithm is to effectively balance the network energy consumption, improve the network life-cycle and ensure the communication quality.

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