Effective Integration of Reliable Routing Mechanism and Energy Efficient Node Placement Technique for Low Power IoT Networks

2017 ◽  
Vol 9 (4) ◽  
pp. 16-35 ◽  
Author(s):  
P. Sarwesh ◽  
N. Shekar V. Shet ◽  
K. Chandrasekaran
Keyword(s):  
Low Power ◽  
Energy Efficient ◽  
Network Architecture ◽  
Ieee 802.15.4 ◽  
Environmental Data ◽  
Relay Nodes ◽  
Node Placement ◽  
Path Computation ◽  
Routing Mechanism ◽  
Placement Technique

Internet of Things (IoT) is the emerging technology that links physical devices (sensor devices) with cyber systems and allows global sharing of information. In IoT applications, devices are operated by battery power and low power radio links, which are constrained by energy. In this paper, node placement technique and routing mechanism are effectively integrated in single network architecture to prolong the lifetime of IoT network. In proposed network architecture, sensor node and relay node are deployed, sensor nodes are responsible for collecting the environmental data and relay nodes are responsible for data aggregation and path computation. In node placement technique, densities of relay nodes are varied based on traffic area, to prevent energy hole problem. In routing technique, energy efficient and reliable path computation is done to reduce number of re transmissions. To adopt IoT scenario, we included IEEE 802.15.4 PHY/MAC radio and IPv6 packet structure in proposed network architecture. Proposed work result shows, proposed architecture prolongs network lifetime.

Effective Integration of Reliable Routing Mechanism and Energy Efficient Node Placement Technique for Low Power IoT Networks

2020 ◽  
pp. 344-363
Author(s):  
P. Sarwesh ◽  
N. Shekar V. Shet ◽  
K. Chandrasekaran
Keyword(s):  
Low Power ◽  
Energy Efficient ◽  
Network Architecture ◽  
Ieee 802.15.4 ◽  
Relay Node ◽  
Relay Nodes ◽  
Node Placement ◽  
Path Computation ◽  
Routing Mechanism ◽  
Placement Technique

Internet of Things (IoT) is the emerging technology that links physical devices (sensor devices) with cyber systems and allows global sharing of information. In IoT applications, devices are operated by battery power and low power radio links, which are constrained by energy. In this paper, node placement technique and routing mechanism are effectively integrated in single network architecture to prolong the lifetime of IoT network. In proposed network architecture, sensor node and relay node are deployed, sensor nodes are responsible for collecting the environmental data and relay nodes are responsible for data aggregation and path computation. In node placement technique, densities of relay nodes are varied based on traffic area, to prevent energy hole problem. In routing technique, energy efficient and reliable path computation is done to reduce number of re transmissions. To adopt IoT scenario, we included IEEE 802.15.4 PHY/MAC radio and IPv6 packet structure in proposed network architecture. Proposed work result shows, proposed architecture prolongs network lifetime.

Network Blueprint for Maximizing the Lifetime of Smart Devices in Low Power IoT Networks

2021 ◽  
Vol 13 (2) ◽  
pp. 21-38
Author(s):  
Sarwesh P. ◽  
K. Chandrasekaran ◽  
Thamizharasan S.
Keyword(s):  
Network Lifetime ◽  
Network Architecture ◽  
Data Transfer ◽  
Network Reliability ◽  
Smart Devices ◽  
Node Placement ◽  
The Standard Model ◽  
Device Lifetime ◽  
Placement Technique ◽  
Better Than

In the modern communication and computation era, internet of things (IoT) is developing as the key technology that satisfies the requirements of various applications. Prolonging device lifetime and maintaining network reliability is the evident objective for IoT network. Therefore, the authors come up with the network architecture that integrates node placement technique and routing technique. In the architecture, node placement is implemented by varying the density of nodes, by varying battery level of nodes, and by varying transmission range of nodes. Energy efficient and reliable path computation is addressed by routing technique. Therefore, enhancing the features of routing and node placement technique and integrating them together in network architecture can efficiently prolong the network lifetime. From the results, the authors observed that the proposed network architecture prolongs the network lifetime two times better than the standard model and also outperforms EQSR protocol and maintains the reliable data transfer.

PC Based Energy Efficient Wireless Transceiver Module with ZigBee

2015 ◽  
Vol 785 ◽  
pp. 724-728 ◽  
Author(s):  
Muhammad Bilal Sarwar ◽  
Perumal Nallagownden ◽  
Zuhairi Baharudin ◽  
Mohana Sundaram Muthuvalu
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Radio Frequency Identification ◽  
Energy Efficient ◽  
Ieee 802.15.4 ◽  
Low Cost ◽  
Computer Control ◽  
Low Power Consumption ◽  
Communication Signals ◽  
Transceiver Module

The aim of this research is to develop a low power, low cost and energy efficient transceiver model which is integrated with programmable microcontroller and ZigBee transponder. A combination of programmable microcontroller with ZigBee transponder is used to control the transceiver module with computer commands. It has b een simulated for transmitting and receiving the communication signals from any movable device with more efficiently and use low power consumption. ZigBee Transponder is preferable as compared to radio frequency identification (RFID) due to IEEE 802.15.4 standard that promises stable data transmission with low power consumption device and having higher network flexibility. PIC 16F877A programmable microcontroller with coding in Mikro C software is simulated and used with computer control instructions. Series of experiments has been conducted to ensure the stability and low power consumption of this model.

An Ultra-low Power Consumption MAC Protocol Complied with IEEE 802.15.4/4e for Wireless Smart Utility Networks

2016 ◽  
Vol 136 (11) ◽  
pp. 1555-1566 ◽  
Author(s):  
Jun Fujiwara ◽  
Hiroshi Harada ◽  
Takuya Kawata ◽  
Kentaro Sakamoto ◽  
Sota Tsuchiya ◽  
...  
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Ieee 802.15.4 ◽  
Mac Protocol ◽  
Low Power Consumption ◽  
Ultra Low Power

scholarly journals Smart Monitoring and Controlling of Appliances Using LoRa Based IoT System

Designs ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 17
Author(s):  
Nur-A-Alam ◽  
Mominul Ahsan ◽  
Md. Abdul Based ◽  
Julfikar Haider ◽  
Eduardo M. G. Rodrigues
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Modular Design ◽  
Real Life ◽  
Environmental Data ◽  
Automation System ◽  
Area Network ◽  
Wide Area Network ◽  
Long Distance ◽  
At Home

In the era of Industry 4.0, remote monitoring and controlling appliance/equipment at home, institute, or industry from a long distance with low power consumption remains challenging. At present, some smart phones are being actively used to control appliances at home or institute using Internet of Things (IoT) systems. This paper presents a novel smart automation system using long range (LoRa) technology. The proposed LoRa based system consists of wireless communication system and different types of sensors, operated by a smart phone application and powered by a low-power battery, with an operating range of 3–12 km distance. The system established a connection between an android phone and a microprocessor (ESP32) through Wi-Fi at the sender end. The ESP32 module was connected to a LoRa module. At the receiver end, an ESP32 module and LoRa module without Wi-Fi was employed. Wide Area Network (WAN) communication protocol was used on the LoRa module to provide switching functionality of the targeted area. The performance of the system was evaluated by three real-life case studies through measuring environmental temperature and humidity, detecting fire, and controlling the switching functionality of appliances. Obtaining correct environmental data, fire detection with 90% accuracy, and switching functionality with 92.33% accuracy at a distance up to 12 km demonstrated the high performance of the system. The proposed smart system with modular design proved to be highly effective in controlling and monitoring home appliances from a longer distance with relatively lower power consumption.

scholarly journals Low Power and Energy Efficient Street Light System Using IoT

2021 ◽  
Vol 1084 (1) ◽  
pp. 012120
Author(s):  
M Srinivasan ◽  
P Manojkumar ◽  
A Dheepancharavarthy
Keyword(s):  
Low Power ◽  
Energy Efficient ◽  
Light System ◽  
Power And Energy

scholarly journals Energy Efficiency in Short and Wide-Area IoT Technologies—A Survey

Technologies ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 22
Author(s):  
Eljona Zanaj ◽  
Giuseppe Caso ◽  
Luca De Nardis ◽  
Alireza Mohammadpour ◽  
Özgü Alay ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Internet Of Things ◽  
Low Power ◽  
Energy Efficient ◽  
Wide Area ◽  
Wide Area Networks ◽  
The Internet ◽  
Extensive Review ◽  
Research Directions ◽  
The Internet Of Things

In the last years, the Internet of Things (IoT) has emerged as a key application context in the design and evolution of technologies in the transition toward a 5G ecosystem. More and more IoT technologies have entered the market and represent important enablers in the deployment of networks of interconnected devices. As network and spatial device densities grow, energy efficiency and consumption are becoming an important aspect in analyzing the performance and suitability of different technologies. In this framework, this survey presents an extensive review of IoT technologies, including both Low-Power Short-Area Networks (LPSANs) and Low-Power Wide-Area Networks (LPWANs), from the perspective of energy efficiency and power consumption. Existing consumption models and energy efficiency mechanisms are categorized, analyzed and discussed, in order to highlight the main trends proposed in literature and standards toward achieving energy-efficient IoT networks. Current limitations and open challenges are also discussed, aiming at highlighting new possible research directions.

scholarly journals A Self-Powered PMFC-Based Wireless Sensor Node for Smart City Applications

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Daniel Ayala-Ruiz ◽  
Alejandro Castillo Atoche ◽  
Erica Ruiz-Ibarra ◽  
Edith Osorio de la Rosa ◽  
Javier Vázquez Castillo
Keyword(s):  
Energy Harvesting ◽  
Low Power ◽  
Sensor Node ◽  
Smart Cities ◽  
Cloud Services ◽  
Environmental Data ◽  
Security And Privacy ◽  
Wireless Sensor ◽  
Ultra Low Power ◽  
Self Powered

Long power wide area networks (LPWAN) systems play an important role in monitoring environmental conditions for smart cities applications. With the development of Internet of Things (IoT), wireless sensor networks (WSN), and energy harvesting devices, ultra-low power sensor nodes (SNs) are able to collect and monitor the information for environmental protection, urban planning, and risk prevention. This paper presents a WSN of self-powered IoT SNs energetically autonomous using Plant Microbial Fuel Cells (PMFCs). An energy harvesting device has been adapted with the PMFC to enable a batteryless operation of the SN providing power supply to the sensor network. The low-power communication feature of the SN network is used to monitor the environmental data with a dynamic power management strategy successfully designed for the PMFC-based LoRa sensor node. Environmental data of ozone (O3) and carbon dioxide (CO2) are monitored in real time through a web application providing IoT cloud services with security and privacy protocols.

Hybrid FSO/fiber optic link based reliable & energy efficient WDM optical network architecture

2021 ◽  
Vol 61 ◽  
pp. 102422
Author(s):  
Amit Kumar Garg ◽  
Vijay Janyani ◽  
Bostjan Batagelj ◽  
N.H. Zainol Abidin ◽  
M.H. Abu Bakar
Keyword(s):  
Energy Efficient ◽  
Network Architecture ◽  
Fiber Optic ◽  
Optical Network

Energy Efficient VLSI Based DCT Architecture with Accurate Error Compensation

2014 ◽  
Vol 626 ◽  
pp. 127-135 ◽  
Author(s):  
D. Jessintha ◽  
M. Kannan ◽  
P.L. Srinivasan
Keyword(s):  
Low Power ◽  
Energy Efficient ◽  
Time Complexity ◽  
High Performance ◽  
Low Power Consumption ◽  
Distributed Arithmetic ◽  
Technology Scaling ◽  
Truncation Errors ◽  
History Of ◽  
Technology Dependency

Discrete Cosine Transform (DCT) is commonly used in image compression. In the history of DCT, a milestone was the Distributed Arithmetic (DA) technique. Due to the technology dependency a multiplier-less computation was built with DA based technique. It occupied less area but the throughput is less. Later, due to the technology scaling, multiplier based architectures can be easily adapted for low-power and high-performance architecture. Fixed width multipliers [1]-[7] reduces hardware and time complexity. In this work, Radix 4 fixed width multiplier is adapted with DCT architecture due to low power consumption and saves 30% power. In order to reduce truncation errors caused during fixed width multiplication, an estimation circuit is designed based on conditional probability theory.

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