scholarly journals Adaptive transmission power level algorithm according to random deployment of nodes in WSN: خوارزمية سوية طاقة الإرسال المتكيفة حسب النشر العشوائي للعقد في شبكات الحساسات اللاسلكية

2021 ◽  
Vol 5 (5) ◽  
pp. 176-148
Author(s):  
Bassim Ali Oumran, Muhammad Abdullah Rastanawi Bassim Ali Oumran, Muhammad Abdullah Rastanawi
Keyword(s):  
Network Performance ◽  
Power Level ◽  
Energy Levels ◽  
Adaptive Transmission ◽  
Sensor Nodes ◽  
Transmission Power ◽  
Wireless Sensor Nodes ◽  
Random Deployment ◽  
Important Nodes

Wireless sensor nodes are generally deployed randomly in hostile, harsh and inaccessible environments. For this reason, the sensor nodes are supposed to operate over long periods of time without human intervention in order to extend the life of the network as much as possible, and also, it is not possible to restore the nodes or change their positions after their deployment, but by changing the transmitting power level and redeploying a new nodes above the deployment Previously, the network performance improves and we guarantee that the deployed nodes are not lost, and we also guarantee the operation of the network as a whole. The researcher has developed an algorithm "Adaptive transmission power level according to random deployment (ATPLRD)", where the presented algorithm includes determining the power levels relative to random deployment and identifying possible paths in the network in order to reach high interconnection between nodes to achieve the least number of published nodes at the lowest energy levels for the nodes, and also determines the most important nodes in the network whose exit or failure leads to the collapse of the network, and determining The boundary nodes of the network, as well as the weakest coverage areas, which represent gaps in the network, and from it determines the number of nodes needed to deploy within these gaps as few as possible. The results of the study showed that the imposed algorithm is effective in all of the above, and we focus in this research on adaptively determining the transmission energy levels of the nodes and reducing the number of deployed nodes that make the network work effectively and improving the quality of deployment by deploying additional nodes within the Reigon of Interest. The results showed achieving the least number of deployed nodes at the lowest transmission power level and achieving high interconnection between nodes. An overall energy consumption improvement of 31.25% was achieved.

Performance Analysis of RNC Clustering Protocol in Wireless Sensor Network

2019 ◽  
Vol 10 ◽  
Author(s):  
Piyush Rawat ◽  
Siddhartha Chauhan
Keyword(s):  
Energy Consumption ◽  
Network Performance ◽  
Energy Levels ◽  
Cluster Head ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Threshold Function ◽  
Efficient Manner ◽  
Clustering Protocol

Background and Objective: The functionalities of wireless sensor networks (WSN) are growing in various areas, so to handle the energy consumption of network in an efficient manner is a challenging task. The sensor nodes in the WSN are equipped with limited battery power, so there is a need to utilize the sensor power in an efficient way. The clustering of nodes in the network is one of the ways to handle the limited energy of nodes to enhance the lifetime of the network for its longer working without failure. Methods: The proposed approach is based on forming a cluster of various sensor nodes and then selecting a sensor as cluster head (CH). The heterogeneous sensor nodes are used in the proposed approach in which sensors are provided with different energy levels. The selection of an efficient node as CH can help in enhancing the network lifetime. The threshold function and random function are used for selecting the cluster head among various sensors for selecting the efficient node as CH. Various performance parameters such as network lifespan, packets transferred to the base station (BS) and energy consumption are used to perform the comparison between the proposed technique and previous approaches. Results and Discussion: To validate the working of the proposed technique the simulation is performed in MATLAB simulator. The proposed approach has enhanced the lifetime of the network as compared to the existing approaches. The proposed algorithm is compared with various existing techniques to measure its performance and effectiveness. The sensor nodes are randomly deployed in a 100m*100m area. Conclusion: The simulation results showed that the proposed technique has enhanced the lifespan of the network by utilizing the node’s energy in an efficient manner and reduced the consumption of energy for better network performance.

A Transmission Power Control Mechanism for 802.15.4+RPL-Operated Wireless Sensor Network

2020 ◽  
Vol 10 (2) ◽  
pp. 197-206
Author(s):  
Ali Qolami ◽  
Mohammad Nassiri ◽  
Hatam Abdoli
Keyword(s):  
Power Control ◽  
Network Lifetime ◽  
Control Method ◽  
Power Level ◽  
Link Quality ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Control Mechanisms ◽  
Transmission Power ◽  
Transmission Power Control

Background and Objective: Wireless Sensor Networks (WSNs) are typically formed by one or more sink nodes and a large number of sensor nodes that are able to sense, process and transmit data. Topology control mechanisms can be utilized to guarantee requirements such as connectivity, coverage, delay and network lifetime in WSNs. One effective way to control the topology is adjusting transmission power level in each node according to the link quality conditions. The goal of Transmission Power Control (TPC) is to set the transmission range of each node by adjusting its transmission power level. Methods: In this paper, we investigate TPC in 802.15.4+RPL WSNs. In our proposed mechanism, each node dynamically adjusts its transmission power based on channel conditions before sending every data and ACK packet. Result and Conclusion: The results of extensive simulations confirm that our power control method improves network performance, especially in terms of network lifetime, which is an essential issue in WSNs.

Silicon Carbide Functional Primitives for Wireless Sensor Nodes

2015 ◽  
Vol 2015 (HiTEN) ◽  
pp. 000244-000250 ◽  
Author(s):  
A.B. Horsfall ◽  
H.K. Chan ◽  
K.V. Vassilevski ◽  
N.G. Wood ◽  
N.G. Wright
Keyword(s):  
Silicon Carbide ◽  
Power Level ◽  
Extreme Environments ◽  
Silicon On Insulator ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Colpitts Oscillator ◽  
Wireless Sensor Nodes ◽  
Wide Range

While wireless sensor nodes based on conventional semiconductor technology have revolutionized our understanding of the world in which we live, they are limited to operating in benign environments. This limitation precludes their use in a wide range of industrial, automotive and geological applications, where the required operating temperatures can exceed 200°C. Silicon-on-insulator technology has enabled the development of high temperature electronics, however applications requiring higher temperature operation are becoming apparent. Battery technologies capable of sustaining the required power level in these extreme environments are also a significant challenge. In this work, we present the integration of analog functional primitive circuits capable of interrogating resistive and capacitive sensors to form a wireless sensor node based on silicon carbide technology. The electrical power is provided from the output of a novel self-starting boost converter connected to a thermoelectric generator. Data can be transmitted from the node via frequency modulation of a Colpitts oscillator, for remote post processing. The signal conditioning is realised using JFET based amplifier circuits, designed using a novel JFET compact model, which enables a greater level of confidence than existing models in the literature.

scholarly journals Developing a fuzzy logic based system for monitoring and early detection of residential fire based on thermistor sensors

2015 ◽  
Vol 12 (1) ◽  
pp. 63-89 ◽  
Author(s):  
Mirjana Maksimovic ◽  
Vladimir Vujovic ◽  
Branko Perisic ◽  
Vladimir Milosevic
Keyword(s):  
Fuzzy Logic ◽  
Real World ◽  
Network Performance ◽  
Performance Monitoring ◽  
Sensor Nodes ◽  
Sensor Data ◽  
Critical Event ◽  
The Internet ◽  
Network Performance Monitoring

The recent proliferation of global networking has an enormous impact on the cooperation of smart elements, of arbitrary kind and purpose that can be located anywhere and interact with each other according to the predefined protocol. Furthermore, these elements have to be intelligently orchestrated in order to support distributed sensing and/or monitoring/control of real world phenomena. That is why the Internet of Things (IoT) concept raises like a new, promising paradigm for Future Internet development. Considering that Wireless Sensor Networks (WSNs) are envisioned as integral part of arbitrary IoTs, and the potentially huge number of cooperating IoTs that are usually used in the real world phenomena monitoring and management, the reliability of individual sensor nodes and the overall network performance monitoring and improvement are definitely challenging issues. One of the most interesting real world phenomena that can be monitored by WSN is indoor or outdoor fire. The incorporation of soft computing technologies, like fuzzy logic, in sensor nodes has to be investigated in order to gain the manageable network performance monitoring/control and the maximal extension of components life cycle. Many aspects, such as routes, channel access, locating, energy efficiency, coverage, network capacity, data aggregation and Quality of Services (QoS) have been explored extensively. In this article two fuzzy logic approaches, with temporal characteristics, are proposed for monitoring and determining confidence of fire in order to optimize and reduce the number of rules that have to be checked to make the correct decisions. We assume that this reduction may lower sensor activities without relevant impact on quality of operation and extend battery life directly contributing the efficiency, robustness and cost effectiveness of sensing network. In order to get a real time verification of proposed approaches a prototype sensor web node, based on Representational State Transfer (RESTful) services, is created as an infrastructure that supports fast critical event signaling and remote access to sensor data via the Internet.

scholarly journals Different Routing Protocols for Wireless Body Sensor Area Network

2019 ◽  
Vol 8 (11) ◽  
pp. 3360-3363
Keyword(s):  
Network Performance ◽  
Data Dissemination ◽  
Life Time ◽  
Link Quality ◽  
Sensor Nodes ◽  
Area Network ◽  
Body Movements ◽  
Dynamic Changes ◽  
Efficient Data

Locomotion produced by body movements in Wireless Body Area Networks (WBANs) affects the link-quality of intra-BAN and inter-BAN interacting units, that, in turn, changes the Quality-of-Service (QoS) of individual WBAN, that includes reliability, efficient data transmission and network throughput . Further, the variation in link quality In central of WBANs and Access Points (APs) makes the WBAN-equipped cold-blooded more resource-constrained in nature, which also varies the data dissemination delay. Therefore, to lessen the DDA of the network, WBANs send Cold-blooded’ physiologic info to local servers using the proposed opportunistic transient connectivity establishment algorithm. Additionally, limb/body movements induce dynamic changes to the on-body network topology, which, in turn, increases the network management cost and decreases the life-time of the sensor nodes periodically. Simulation results show significant improvement in the network performance compared to the existing solutions

scholarly journals Power Control in Wireless Sensor Networks with Variable Interference

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Michele Chincoli ◽  
Aly Aamer Syed ◽  
Georgios Exarchakos ◽  
Antonio Liotta
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Power Control ◽  
Network Performance ◽  
Interference Mitigation ◽  
Power Reduction ◽  
Sensor Nodes ◽  
Spectrum Efficiency ◽  
Wireless Sensor ◽  
Transmission Power

Adaptive transmission power control schemes have been introduced in wireless sensor networks to adjust energy consumption under different network conditions. This is a crucial goal, given the constraints under which sensor communications operate. Power reduction may however have counterproductive effects to network performance. Yet, indiscriminate power boosting may detrimentally affect interference. We are interested in understanding the conditions under which coordinated power reduction may lead to better spectrum efficiency and interference mitigation and, thus, have beneficial effects on network performance. Through simulations, we analyze the performance of sensor nodes in an environment with variable interference. Then we study the relation between transmission power and communication efficiency, particularly in the context of Adaptive and Robust Topology (ART) control, showing how appropriate power reduction can benefit both energy and spectrum efficiency. We also identify critical limitations in ART, discussing the potential of more cooperative power control approaches.

scholarly journals Energy Synchronized Transmission Control for Energy-harvesting Sensor Networks

2016 ◽  
Vol 11 (2) ◽  
pp. 194 ◽  
Author(s):  
Zuzhi Fan ◽  
Xiaoli Liu
Keyword(s):  
Sensor Networks ◽  
Energy Harvesting ◽  
Large Scale ◽  
Network Performance ◽  
Energy Resource ◽  
Sensor Nodes ◽  
Traffic Load ◽  
Transmission Power ◽  
Transmission Control ◽  
Main Challenge

Energy harvesting and recharging techniques have been regarded as a promising solution to ensure sustained operations of wireless sensor networks for longterm applications. To deal with the diversity of energy harvesting and constrained energy storage capability, sensor nodes in such applications usually work in a duty-cycled mode. Consequently, the sleep latency brought by duty-cycled operation is becoming the main challenge. In this work, we study the energy synchronization control problem for such sustainable sensor networks. Intuitively, energy-rich nodes can increase their transmission power in order to improve network performance, while energy-poor nodes can lower transmission power to conserve its precious energy resource. In particular, we propose an energy synchronized transmission control scheme (ESTC) by which each node adaptively selects suitable power levels and data forwarders according to its available energy and traffic load. Based on the large-scale simulations, we validate that our design can improve system performance under different network settings comparing with common uniform transmission power control strategy. Specially, ESTC can enable the perpetual operations of nodes without sacrificing the network lifetime.

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