scholarly journals Energy-Efficient Method for Wireless Sensor Networks Low-Power Radio Operation in Internet of Things

Electronics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 320 ◽  
Author(s):  
Mehdi Amirinasab Nasab ◽  
Shahaboddin Shamshirband ◽  
Anthony Chronopoulos ◽  
Amir Mosavi ◽  
Narjes Nabipour
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Internet Of Things ◽  
Power Consumption ◽  
Low Power ◽  
Wireless Sensor ◽  
Common Source ◽  
Factors Affecting ◽  
Duty Cycles ◽  
Idle Listening

The radio operation in wireless sensor networks (WSN) in Internet of Things (IoT) applications is the most common source for power consumption. Consequently, recognizing and controlling the factors affecting radio operation can be valuable for managing the node power consumption. Among essential factors affecting radio operation, the time spent for checking the radio is of utmost importance for monitoring power consumption. It can lead to false WakeUp or idle listening in radio duty cycles and ContikiMAC. ContikiMAC is a low-power radio duty-cycle protocol in Contiki OS used in WakeUp mode, as a clear channel assessment (CCA) for checking radio status periodically. This paper presents a detailed analysis of radio WakeUp time factors of ContikiMAC. Furthermore, we propose a lightweight CCA (LW-CCA) as an extension to ContikiMAC to reduce the Radio Duty-Cycles in false WakeUps and idle listening though using dynamic received signal strength indicator (RSSI) status check time. The simulation results in the Cooja simulator show that LW-CCA reduces about 8% energy consumption in nodes while maintaining up to 99% of the packet delivery rate (PDR).

scholarly journals Energy-Efficient Method for Wireless Sensor Networks Low-Power Radio Operation in Internet of Things

2020 ◽  
Author(s):  
Mehdi Amiri Nasab ◽  
Shahaboddin Shamshirband ◽  
Anthony Theodore Chronopoulos ◽  
Amir Mosavi ◽  
Narjes Nabipur
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Internet Of Things ◽  
Power Consumption ◽  
Low Power ◽  
Time Factors ◽  
Wireless Sensor ◽  
Common Source ◽  
Factors Affecting ◽  
Duty Cycles

The radio operation in wireless sensor networks (WSN) in the Internet of Things (IoT) applications are the most common source for power consumption. However, recognizing and controlling the factors affecting radio operation can be valuable for managing the node power consumption. ContikiMAC is a low-power Radio Duty-Cycle protocol in Contiki OS used in WakeUp mode, which is a clear channel assessment (CCA) to check radio status periodically. The time spent to check the radio is of utmost importance for monitoring power consumption. It can lead to false WakeUp or idle listening in Radio Duty-Cycles and ContikiMAC. This paper presents a detailed analysis of radio WakeUp time factors of ContikiMAC. Then, we propose lightweight CCA (LW-CCA) as an extension to ContikiMAC to reduce the percentage of Radio Duty-Cycles in false WakeUps and idle listenings by using dynamic received signal strength indicators (RSSI) status check time. The simulation results in the Cooja simulator show that LW-CCA reduces about 8% energy consumption in nodes while maintaining up to 99% of the packet delivery rate (PDR).

scholarly journals LW-CCA: A New Energy Efficient Method for Low-Power Radio Operation in Wireless Sensor Networks for IoT Applications

2019 ◽  
Author(s):  
Mehdi Amiri Nasab ◽  
Shahaboddin Shamshirband ◽  
Anthony Theodore Chronopoulos ◽  
Amir Mosavi ◽  
Narjes Nabipour
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Power Consumption ◽  
Low Power ◽  
Network Performance ◽  
Time Factors ◽  
Wireless Sensor ◽  
Factors Affecting ◽  
Iot Applications ◽  
New Energy

The radio activity in Wireless Sensor Networks (WSN) and Internet of Things (IoT) applications are the most common reason for power consumption. However, recognizing and controlling the factors affecting radio activity can be valuable for managing node power. ContikiMAC is a low-power Radio Duty-Cycle protocol in Contiki OS that uses Clear Channel Assessments (CCA) to check radio status periodically. The time taken to check the radio in receive mode WakeUp, is one of the most important reasons for power consumption which in most the cases can lead to negative WakeUp in Radio Duty-Cycles and ContikiMAC especially. Here, we present a detailed analysis of idle listening time factors on the ContikiMAC. Then, we propose Light Weight CCA(LW-CCA) as an extension to ContikiMAC to reduce power consumption by reducing the radio check time in receive mode WakeUp’s, while maintaining up to 99% the Packet Delivery Rate (PDR). The simulation results show that the proposed method reduces significantly energy consumption in nodes compared to ContikiMAC and thus it helps maintain a high network performance.

PECA

2014 ◽  
pp. 239-248
Author(s):  
Maytham Safar ◽  
Hasan Al-Hamadi ◽  
Dariush Ebrahimi
Keyword(s):  
Wireless Sensor Networks ◽  
Fault Tolerance ◽  
Sensor Networks ◽  
Power Consumption ◽  
Low Power ◽  
The Self ◽  
Wireless Sensor ◽  
Human Intervention ◽  
Electronic Circuits ◽  
Power Efficient

Wireless sensor networks (WSN) have emerged in many applications as a platform to collect data and monitor a specified area with minimal human intervention. The initial deployment of WSN sensors forms a network that consists of randomly distributed devices/nodes in a known space. Advancements have been made in low-power micro-electronic circuits, which have allowed WSN to be a feasible platform for many applications. However, there are two major concerns that govern the efficiency, availability, and functionality of the network—power consumption and fault tolerance. This paper introduces a new algorithm called Power Efficient Cluster Algorithm (PECA). The proposed algorithm reduces the power consumption required to setup the network. This is accomplished by effectively reducing the total number of radio transmission required in the network setup (deployment) phase. As a fault tolerance approach, the algorithm stores information about each node for easier recovery of the network should any node fail. The proposed algorithm is compared with the Self Organizing Sensor (SOS) algorithm; results show that PECA consumes significantly less power than SOS.

Load-Balanced Low-Power Routing Algorithm Design for Wireless Sensor Networks

2014 ◽  
Vol 926-930 ◽  
pp. 3641-3644
Author(s):  
Bo He
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Power Consumption ◽  
Low Power ◽  
Routing Algorithm ◽  
Algorithm Design ◽  
Wireless Sensor ◽  
Load Factor ◽  
Simulation Results ◽  
Load Balanced

Low-power wireless sensor networks (WSNs) design involves all aspects of research in wireless sensor networks. As energy is limited in wireless sensor networks, how to effectively manage and use energy of WSNs, and how to maximize the reduction of power consumption in WSNs and extend the lifetime of WSNs become a key problem faced by wireless sensor networks. Aimed at these problems, a low-power clustering routing algorithm based on load-balanced is proposed. The algorithm introduced an energy load factor to reduce the power consumption of WSNs. The simulation results show that the low-power routing algorithm can effectively reduce power consumption of networks and extend the lifetime of networks.

scholarly journals An efficient networking solution for extending and controlling wireless sensor networks using low-energy technologies

2021 ◽  
Vol 7 ◽  
pp. e780
Author(s):  
Mostafa Ibrahim Labib ◽  
Mohamed ElGazzar ◽  
Atef Ghalwash ◽  
Sarah Nabil AbdulKader
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Power Consumption ◽  
Low Power ◽  
Mesh Networks ◽  
Wireless Sensor ◽  
Low Power Consumption ◽  
Construction Sites ◽  
Mesh Topology ◽  
Energy Technologies

Wireless sensor networks connect a set of highly flexible wireless devices with small weight and size. They are used to monitor and control the environment by organizing the acquired data at a central device. Constructing fully connected networks using low power consumption sensors, devices, and protocols is one of the main challenges facing wireless sensor networks, especially in places where it is difficult to establish wireless networks in a normal way, such as military areas, archaeological sites, agricultural districts, construction sites, and so on. This paper proposes an approach for constructing and extending Bi-Directional mesh networks using low power consumption technologies inside various indoors and outdoors architectures called “an adaptable Spider-Mesh topology”. The use of ESP-NOW protocol as a communication technology added an advantage of longer communication distance versus a slight increase of consumed power. It provides 15 times longer distance compared to BLE protocol while consuming only twice as much power. Therefore, according to our theoretical and experimental comparisons, the proposed approach could provide higher network coverage while maintaining an acceptable level of power consumption.

scholarly journals Energy Efficiency Analysis of LoRa and ZigBee Protocols in Wireless Sensor Networks

2021 ◽  
Vol 11 (4) ◽  
pp. 2836-2849
Author(s):  
K. Raghava Rao ◽  
D. Sateesh Kumar ◽  
Mohiddin Shaw ◽  
V. Sitamahalakshmi
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Power Consumption ◽  
Low Power ◽  
Sensor Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Wireless Sensor Nodes ◽  
Iot Applications

Now a days IoT technologies are emerging technology with wide range of applications. Wireless sensor networks (WSNs) are plays vital role in IoT technologies. Construction of wireless sensor node with low-power radio link and high-speed processors is an interesting contribution for wireless sensor networks and IoT applications. Most of WSNs are furnished with battery source that has limited lifetime. The maximum operations of these networks require more power utility. Nevertheless, improving network efficiency and lifetime is a curtail issue in WSNs. Designing a low powered wireless sensor networks is a major challenges in recent years, it is essential to model its efficiency and power consumption for different applications. This paper describes power consumption model based on LoRa and Zigbee protocols, allows wireless sensor nodes to monitor and measure power consumption in a cyclic sleeping scenario. Experiential results reveals that the designed LoRa wireless sensor nodes have the potential for real-world IoT application with due consideration of communicating distance, data packets, transmitting speed, and consumes low power as compared with Zigbee sensor nodes. The measured sleep intervals achieved lower power consumption in LoRa as compared with Zigbee. The uniqueness of this research work lies in the review of wireless sensor node optimization and power consumption of these two wireless sensor networks for IoT applications.

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