scholarly journals Implementation of Energy Efficient Models using MATLAB for Wireless Sensors Network Protocols

2019 ◽  
Vol 9 (2S3) ◽  
pp. 282-286
Keyword(s):  
Data Transmission ◽  
Energy Efficient ◽  
Hybrid Genetic Algorithm ◽  
Path Loss ◽  
Wireless Networking ◽  
Sensor Nodes ◽  
Performance Parameters ◽  
Network Location ◽  
Transmission Distance ◽  
Very High

Wireless era is the most developing technology in this era and used in many actual time applications; as an instance, our everyday usable Smartphone’s lie in wireless era. These days the variety of humans die from style of illnesses like heart attack, blood strain, allergies, cardiovascular dieses, etc. It is thrilling to apply Wi-Fi era, that's aggregate of wireless networking and Wi-Fi communication to boom the lifestyles of humankind through technique named Wi-Fi frame region networks (WBAN). The distinctive form of sensor nodes is connected in and across the human frame to feel the modifications, fetch the statistics and skip the fetched records to the server that's inside the far flung region for far off fitness monitoring purpose. Loss while consuming the different Energies in network or via nodes is in the running situation, the actual data transmission will take region. Another factor that we initiate the required preferences which are obligation cycles. It is the time taken via the sensor nodes that perform irregularly in preference to continuously. When the transmission distance may be very small in comparison to the threshold distance, obligation cycle may be very high, and for this reason, to get better prices for battery for the fact of ideal time, and consequently, battery recovery effect is not taken into consideration. This paper focused on techniques designing a network location having duration and width of length 10×10 along with 20 numbers of sensor nodes for special transmission distance modifications from 10 -1500 for one of a kind bit quotes. All the simulation tactics could be done in MATLAB surroundings, and the performance parameters like CDF, postpone spread, path loss Duty cycle and Energy consumption with baseline. offline, and recovery set of rules may be measured along with optimization algorithm named as Hybrid-Genetic algorithm.

Wearable energy-efficient fitness tracking system for sports person health monitoring application

2021 ◽  
pp. 1-13
Author(s):  
Dan Xie ◽  
Ming Zhang ◽  
Priyan Malarvizhi Kumar ◽  
Bala Anand Muthu
Keyword(s):  
Health Monitoring ◽  
Energy Efficient ◽  
Tracking System ◽  
Path Loss ◽  
Integrated Approach ◽  
Smartphone Application ◽  
Sensor Nodes ◽  
Engineering Research ◽  
Fitness Tracking ◽  
Monitoring Application

The high potential of wearable physiological sensors in regenerative medicine and continuous monitoring of human health is currently of great interest. In measuring in real-time and non-invasively highly heterogeneous constituents, have a great deal of work and therefore been pushed into creating several sports monitoring sensors. The advanced engineering research and technology lead to the design of a wearable energy-efficient fitness tracking (WE2FT) system for sports person health monitoring application. Instantaneous accelerations are measured against pulses, and specific walking motions can be tracked by this system using a deep learning-based integrated approach of an intelligent algorithm for gait phase detection for the proposed system (WE2FT). The algorithm’s effects are addressed, and the performance has been evaluated. In this study, the algorithm uses a smartphone application to track steps using the Internet of Things (IoT) technology. For this initiative, the central node’s optimal location is measured with the antenna reflectance coefficient and CM3A path loss model (IEEE 802.15.6) among the sensor nodes for energy-efficient communication. The simulation experiment results in the highest performance in terms of energy efficiency and path loss.

scholarly journals Comparative study of cluster based routing protocols in WSN

2017 ◽  
Vol 7 (1.2) ◽  
pp. 171
Author(s):  
Varsha Bhatia ◽  
Sunita Kumawat ◽  
Vivek Jaglan
Keyword(s):  
Routing Protocols ◽  
Data Transmission ◽  
Energy Efficient ◽  
Hierarchical Cluster ◽  
Sensor Nodes ◽  
Maintenance Cost ◽  
Energy Efficient Routing ◽  
Wireless Sensor Nodes ◽  
Dynamic Topology ◽  
Cluster Based Routing

Wireless Sensors network is a type of wireless network, used in diverse applications and has its own set of challenges. Apart from organizing and managing WSN, the main challenges include limited resources, dynamic topology and low scalability. Wireless Sensor nodes are battery operated, so energy scarceness is a major concern. The energy consumption is maximal at the time of data transmission between network devices or nodes. Various energy conservation schemes are applied in WSN; Energy Efficient Routing is one of the possible solutions. Energy Efficient Routing is used to minimize the maintenance cost of the network and maximize the performance of the node. In this paper different hierarchical cluster based routing protocols are discussed.

scholarly journals Energy-efficient hierarchical routing in wireless sensor networks based on Fog Computing

2020 ◽  
Author(s):  
Ademola Abidoye ◽  
Boniface Kabaso
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Data Transmission ◽  
Energy Efficient ◽  
Fog Computing ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Hierarchical Routing

Abstract Wireless sensor networks (WSNs) have been recognized as one of the most essential technologies of the 21st century. The applications of WSNs are rapidly increasing in almost every sector because they can be deployed in areas where cable and power supply are difficult to use. In the literature, different methods have been proposed to minimize energy consumption of sensor nodes so as to prolong WSNs utilization. In this article, we propose an efficient routing protocol for data transmission in WSNs; it is called Energy-Efficient Hierarchical routing protocol for wireless sensor networks based on Fog Computing (EEHFC). Fog computing is integrated into the proposed scheme due to its capability to optimize the limited power source of WSNs and its ability to scale up to the requirements of the Internet of Things applications. In addition, we propose an improved ant colony optimization (ACO) algorithm that can be used to construct optimal path for efficient data transmission for sensor nodes. The performance of the proposed scheme is evaluated in comparison with P-SEP, EDCF, and RABACO schemes. The results of the simulations show that the proposed approach can minimize sensor nodes’ energy consumption, data packet losses and extends the network lifetime

scholarly journals WMSN: ANALYSIS OF AGRICULTURAL SOIL ENVIRONMENT MONITORING USING WIRELESS MULTIMEDIA SENSOR NETWORK

2021 ◽  
Vol 9 (2) ◽  
pp. 956-962
Author(s):  
E.Manjula, Et. al.
Keyword(s):  
Sensor Network ◽  
Data Transmission ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Multimedia ◽  
Soil Environment ◽  
Available Bandwidth ◽  
Wireless Multimedia Sensor Network ◽  
Agriculture Soil ◽  
Scalar Data

This paper proposes an environmental monitoring for agriculture soil using Wireless Multimedia Sensor Network. WMSN is used to monitor the agriculture soil environment.  In order to ensure optimal use of the sensor nodes in WMSN and accurate access to the collected data, the  routing protocols with both energy efficiency and quality of service ( QoS) properties are necessary for the transmission of photo, video and scalar data. This paper proposes a priority aware energy efficient QoS based data transmission for agriculture soil environment and also detects the pest. It utilizes the available bandwidth and data rate in the best way and in order to be more energy efficient during data transmission. For performance analysis, the proposed system is simulated using Java and the results of the experiments suggest that the proposed algorithm is more efficient compared to other methods in terms of delay and energy consumption. The sink node provides the solution based on these collected values.

scholarly journals Transmission Power Control with the Guaranteed Communication Reliability in WSN

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Dae-Young Kim ◽  
Zilong Jin ◽  
Jungwook Choi ◽  
Ben Lee ◽  
Jinsung Cho
Keyword(s):  
Wireless Sensor Network ◽  
Power Control ◽  
Sensor Network ◽  
Data Transmission ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Transmission Power ◽  
Efficient Data ◽  
Communication Reliability

In a wireless sensor network, sensor nodes are deployed in an ad hoc fashion and they deliver data packets using multihop transmission. However, transmission failures occur frequently in the multihop transmission over wireless media. Thus, a loss recovery mechanism is required to provide end-to-end reliability. In addition, because the sensor nodes are very small devices and have insufficient resources, energy-efficient data transmission is crucial for prolonging the lifetime of a wireless sensor network. This paper proposes a transmission power control mechanism for reliable data transmission, which satisfies communication reliability through recovery of lost packets. The proposed method calculates packet reception rate (PRR) of each hop to maintain end-to-end packet delivery rate (PDR), which is determined based on the desired communication reliability. Then, the transmission power is adjusted based on the PRR to reduce energy consumption. The proposed method was evaluated through extensive simulations, and the results show that it leads to more energy-efficient data transmission compared to existing methods.

scholarly journals Energy Efficient Clustering Protocol to Enhance Performance of Heterogeneous Wireless Sensor Network: EECPEP-HWSN

2017 ◽  
Author(s):  
Santosh Purkar ◽  
Rajkumar S. Deshpande
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Energy Efficient ◽  
Real Life ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Performance Parameters ◽  
Clustering Protocol ◽  
Heterogeneous Wireless Sensor Network ◽  
Energy Efficient Clustering

As Heterogeneous Wireless Sensor Network (HWSN) fulfill the requirements of researchers in the design of real life application to resolve the issues of unattended problem. But, the main constraint face by researchers is energy source available with sensor nodes. To prolong the life of sensor nodes and hence HWSN, it is necessary to design energy efficient operational schemes. One of the most suitable routing scheme is clustering approach, which improves stability and hence enhances performance parameters of HWSN. A novel solution proposed in this article is to design energy efficient clustering protocol for HWSN, to enhance performance parameters by EECPEP-HWSN. Propose protocol is designed with three level nodes namely normal, advance and super node respectively. In clustering process, for selection of cluster head we consider three parameters available with sensor node at run time, i.e., initial energy, hop count and residual energy. This protocol enhance the energy efficiency of HWSN, it improves performance parameters in the form of enhance energy remain in the network, force to enhance stability period, prolong lifetime and hence higher throughput. It is been found that proposed protocol outperforms than LEACH, DEEC and SEP with about 188, 150 and 141 percent respectively.

scholarly journals Energy Efficient Clustering Protocol to Enhance Performance of Heterogeneous Wireless Sensor Network: EECPEP-HWSN

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Santosh V. Purkar ◽  
R. S. Deshpande
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Performance Parameters ◽  
Clustering Protocol ◽  
Heterogeneous Wireless Sensor Network ◽  
Energy Efficient Clustering

Heterogeneous wireless sensor network (HWSN) fulfills the requirements of researchers in the design of real life application to resolve the issues of unattended problem. But, the main constraint faced by researchers is the energy source available with sensor nodes. To prolong the life of sensor nodes and thus HWSN, it is necessary to design energy efficient operational schemes. One of the most suitable approaches to enhance energy efficiency is the clustering scheme, which enhances the performance parameters of WSN. A novel solution proposed in this article is to design an energy efficient clustering protocol for HWSN, to enhance performance parameters by EECPEP-HWSN. The proposed protocol is designed with three level nodes namely normal, advanced, and super, respectively. In the clustering process, for selection of cluster head we consider different parameters available with sensor nodes at run time that is, initial energy, hop count, and residual energy. This protocol enhances the energy efficiency of HWSN and hence improves energy remaining in the network, stability, lifetime, and hence throughput. It has been found that the proposed protocol outperforms than existing well-known LEACH, DEEC, and SEP with about 188, 150, and 141 percent respectively.

scholarly journals A Cross-Layer Optimization Approach for Energy Efficient Wireless Sensor Networks: Coalition-Aided Data Aggregation, Cooperative Communication, and Energy Balancing

2007 ◽  
Vol 2007 ◽  
pp. 1-12 ◽  
Author(s):  
Qinghai Gao ◽  
Junshan Zhang ◽  
Xuemin (Sherman) Shen ◽  
Bryan Larish
Keyword(s):  
Sensor Networks ◽  
Data Transmission ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Cross Layer ◽  
Optimization Approach ◽  
Data Transport ◽  
Energy Balancing ◽  
Cross Layer Optimization

We take a cross-layer optimization approach to study energy efficient data transport in coalition-based wireless sensor networks, where neighboring nodes are organized into groups to form coalitions and sensor nodes within one coalition carry out cooperative communications. In particular, we investigate two network models: (1) many-to-one sensor networks where data from one coalition are transmitted to the sink directly, and (2) multihop sensor networks where data are transported by intermediate nodes to reach the sink. For the many-to-one network model, we propose three schemes for data transmission from a coalition to the sink. In scheme 1, one node in the coalition is selected randomly to transmit the data; in scheme 2, the node with the best channel condition in the coalition transmits the data; and in scheme 3, all the nodes in the coalition transmit in a cooperative manner. Next, we investigate energy balancing with cooperative data transport in multihop sensor networks. Built on the above coalition-aided data transmission schemes, the optimal coalition planning is then carried out in multihop networks, in the sense that unequal coalition sizes are applied to minimize the difference of energy consumption among sensor nodes. Numerical analysis reveals that energy efficiency can be improved significantly by the coalition-aided transmission schemes, and that energy balancing across the sensor nodes can be achieved with the proposed coalition structures.

scholarly journals Rancang Bangun Control dan Monitoring Sensor Node WSN Menggunakan Protokol Message Queue Telemetry Transport (MQTT)

Repositor ◽  
2020 ◽  
Vol 2 (1) ◽  
pp. 15
Author(s):  
Inung Bagus Prasetyo ◽  
Mahar Faiqurahman ◽  
Zamah Sari
Keyword(s):  
Packet Loss ◽  
Data Transmission ◽  
Energy Efficient ◽  
Sensor Node ◽  
Cost Effective ◽  
Sensor Nodes ◽  
Network Node ◽  
Memory Condition ◽  
Message Queue ◽  
Delay Jitter

The WSN network is increasingly gaining attention because of the potential for new and attractive solutions in the field of industrial automation, asset processing, environmental preparation and others. But there are some problems in building the WSN network. Sensor nodes must manage small, cost-effective, low-resource, node sensors must be managed properly with WSN networks Managing WSN networks, can be done by controlling sensor nodes such as giving commands to data transmission activities and monitoring to determine the condition of sensor nodes. The MQTT protocol with the type of publishing / subscription communication is designed with characteristics similar to the characteristics of the WSN network, which are simple, lightweight, energy efficient and easy to implement.In this study, a server will be implemented that can control and monitor the sensors of the WSN network node using the MQTT protocol. Then RTT parameters are used, Qo parameters include Delay, Jitter, Throughput, Packet Loss and sensor node memory condition parameters when using the MQTT protocol. The RTT and QoS scenarios use variations in data size of 16,32,48,64,80 and 96 bytes. Monitoring memory nodes, performing for 1 minute with a total of 30 data transmissions. The RTT parameter testing results are quite stable. QoS testing is very good with stable delay, jitter, increasing throughput, and 0% of data lost when packet loss testing. The Test Memory node sensor, shows erratic results.  

scholarly journals Energy Efficient Quality Assurance MAC Protocols in WSN

2019 ◽  
Vol 9 (2) ◽  
pp. 2090-2097
Keyword(s):  
Data Transmission ◽  
Energy Efficient ◽  
Mac Protocol ◽  
Data Communication ◽  
Mac Protocols ◽  
Sensor Nodes ◽  
Network Simulator ◽  
Media Access ◽  
Access Methods ◽  
New Research

The key aim of the proposed research is to perform an analysis of various QoS aware MAC protocols for WSN based on simulation and literature both. The proposed work represents the designs and methodologies of different MAC protocols. And also classify the various MAC protocols based on media access and allocation of schedule for communication among the sensor nodes. The proposed work performs the analysis by designing, developing and analyzing various quality aware MAC protocols for Wireless sensor network. This paper describes the detailed analysis of different channel access methods of a network. It also depicts detail algorithms of SMAC and describes the procedure of data communication in TMAC, BMAC, and ZMAC. Also, simulate the SMAC and TMAC protocols to analyze energy efficiency as a QoS parameter. The simulation of SMAC and TMAC data transmission is done in network simulator 3 by using various network parameters. In this research the QoS parameters like Energy, Throughput, delay and, latency are analyzed by simulation and literature respectively. A new research always starts with analysis of existing one. So, Analysis of different MAC is useful for the WSN research community to propose and develop a QoS aware MAC protocol.

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