Battery lifetime estimation for energy efficient telecommunication networks in smart cities

2021 ◽  
Vol 46 ◽  
pp. 101205
Author(s):  
Praveen Gorla ◽  
Vinay Chamola
Keyword(s):  
Energy Efficient ◽  
Smart Cities ◽  
Telecommunication Networks ◽  
Lifetime Estimation ◽  
Battery Lifetime

scholarly journals Battery Lifetime Estimation for LoRaWAN Communications

2020 ◽  
Vol 9 (11) ◽  
pp. 306-310
Keyword(s):  
Power Consumption ◽  
Smart Cities ◽  
Building Blocks ◽  
Wide Area Networks ◽  
Lifetime Estimation ◽  
Battery Lifetime ◽  
Global Power ◽  
Simulation Results ◽  
Microcontroller Unit ◽  
Time Acquisition

Smart Cities concept increased the number of end devices (ED) which allow the acquisition of parameters for further analysis and processing. The actual technologies based on Internet of Things (IoT) enable sensors connectivity to Internet. This feature allows real time acquisition of several physical data important for smart cities monitoring. In order to minimize the power consumption, Low Power Wide Area Networks (LPWAN) assumes an important role on the evolution and growing of wireless network sensors. In this particular type of network, LoRaWAN has taken the lead, among other technologies. Typically most end devices need to be powered with batteries, since they are in remote zones. Therefore one important issue to consider is the global power consumption of the end device building blocks: LoRa transceiver, microcontroller unit and sensor unit. This paper presents the study and simulation results supported on LoRa modulation parameters, in order to estimate the battery lifetime, which is useful for IoT remote sensing units. The achieved results denote it is possible to configure LoRa transceiver with similar parameters and different payloads, reaching the same battery lifetime.

scholarly journals An Energy Efficient Routing Approach for IoT Enabled Underwater WSNs in Smart Cities

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4116
Author(s):  
Nighat Usman ◽  
Omar Alfandi ◽  
Saeeda Usman ◽  
Asad Masood Khattak ◽  
Muhammad Awais ◽  
...  
Keyword(s):  
Energy Efficient ◽  
Water Surface ◽  
Power Transmission ◽  
Smart Cities ◽  
Cluster Head ◽  
Three Dimensional ◽  
Energy Efficient Routing ◽  
Underwater Environment ◽  
Ocean Environment ◽  
Smart Technologies

Nowadays, there is a growing trend in smart cities. Therefore, Terrestrial and Internet of Things (IoT) enabled Underwater Wireless Sensor Networks (TWSNs and IoT-UWSNs) are mostly used for observing and communicating via smart technologies. For the sake of collecting the desired information from the underwater environment, multiple acoustic sensors are deployed with limited resources, such as memory, battery, processing power, transmission range, etc. The replacement of resources for a particular node is not feasible due to the harsh underwater environment. Thus, the resources held by the node needs to be used efficiently to improve the lifetime of a network. In this paper, to support smart city vision, a terrestrial based “Away Cluster Head with Adaptive Clustering Habit” (ACH) 2 is examined in the specified three dimensional (3-D) region inside the water. Three different cases are considered, which are: single sink at the water surface, multiple sinks at water surface,, and sinks at both water surface and inside water. “Underwater (ACH) 2 ” (U-(ACH) 2 ) is evaluated in each case. We have used depth in our proposed U-(ACH) 2 to examine the performance of (ACH) 2 in the ocean environment. Moreover, a comparative analysis is performed with state of the art routing protocols, including: Depth-based Routing (DBR) and Energy Efficient Depth-based Routing (EEDBR) protocol. Among all of the scenarios followed by case 1 and case 3, the number of packets sent and received at sink node are maximum using DEEC-(ACH) 2 protocol. The packets drop ratio using TEEN-(ACH) 2 protocol is less when compared to other algorithms in all scenarios. Whereas, for dead nodes DEEC-(ACH) 2 , LEACH-(ACH) 2 , and SEP-(ACH) 2 protocols’ performance is different for every considered scenario. The simulation results shows that the proposed protocols outperform the existing ones.

The optimized energy-efficient sensible edge processing model for the internet of vehicles in smart cities

2021 ◽  
Vol 47 ◽  
pp. 101477
Author(s):  
Xianhao Shen ◽  
Haitao Yu ◽  
Xiaoyong Liu ◽  
Qiu Bin ◽  
Ashish Kr. Luhach ◽  
...  
Keyword(s):  
Energy Efficient ◽  
Smart Cities ◽  
The Internet ◽  
Internet Of Vehicles

scholarly journals EERP-DPM: Energy Efficient Routing Protocol Using Dual Prediction Model for Healthcare Using IoT

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Faris A. Almalki ◽  
Soufiene Ben Othman ◽  
Fahad A. Almalki ◽  
Hedi Sakli
Keyword(s):  
Energy Consumption ◽  
Prediction Model ◽  
Routing Protocol ◽  
Health Care Professionals ◽  
Energy Efficient ◽  
Temporal Correlation ◽  
Sensor Nodes ◽  
Energy Efficient Routing ◽  
Battery Lifetime ◽  
Redundant Data

Healthcare is one of the most promising domains for the application of Internet of Things- (IoT-) based technologies, where patients can use wearable or implanted medical sensors to measure medical parameters anywhere and anytime. The information collected by IoT devices can then be sent to the health care professionals, and physicians allow having a real-time access to patients’ data. However, besides limited batteries lifetime and computational power, there is spatio-temporal correlation, where unnecessary transmission of these redundant data has a significant impact on reducing energy consumption and reducing battery lifetime. Thus, this paper aims to propose a routing protocol to enhance energy-efficiency, which in turn prolongs the sensor lifetime. The proposed work is based on Energy Efficient Routing Protocol using Dual Prediction Model (EERP-DPM) for Healthcare using IoT, where Dual-Prediction Mechanism is used to reduce data transmission between sensor nodes and medical server if predictions match the readings or if the data are considered critical if it goes beyond the upper/lower limits of defined thresholds. The proposed system was developed and tested using MATLAB software and a hardware platform called “MySignals HW V2.” Both simulation and experimental results confirm that the proposed EERP-DPM protocol has been observed to be extremely successful compared to other existing routing protocols not only in terms of energy consumption and network lifetime but also in terms of guaranteeing reliability, throughput, and end-to-end delay.

scholarly journals Remote Microgrids for Energy Access in Indonesia—Part II: PV Microgrids and A Technology Outlook

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 6901
Author(s):  
Desmon Simatupang ◽  
Ilman Sulaeman ◽  
Niek Moonen ◽  
Rinaldi Maulana ◽  
Safitri Baharuddin ◽  
...  
Keyword(s):  
Companion Paper ◽  
Monitoring Systems ◽  
Energy Access ◽  
Lifetime Estimation ◽  
Battery Lifetime ◽  
Utility Company ◽  
Pv Systems ◽  
Grid Connection ◽  
Advanced Technologies ◽  
Sustainability Challenges

This paper is the companion paper of Remote Microgrids for Energy Access in Indonesia “Part I: scaling and sustainability challenges and a technology outlook”. This part II investigates the issues of photovoltaic (PV) systems with respect to the planning, design, and operation, and maintenance phases in microgrids in Indonesia. The technology outlooks are also included as PV has an important role in providing electricity in the underdeveloped, isolated, and border areas. The data in this paper are from PV microgrids located in Maluku and North Maluku, which are two provinces where there is barely any grid connection available and thus very dependent on remote microgrids. The data are obtained from interviews with Perusahaan Listrik Negara (PLN) and NZMATES, which are an Indonesian utility company and a program for supporting role for the PV systems in Maluku funded by New Zealand respectively. Common issues with respect to reliability and sustainability are identified based on the provided data. Advanced technologies to increase reliability and sustainability are also presented in this paper as a technology outlook. Among these solutions are online monitoring systems, PV and battery lifetime estimation, load forecasting strategies, and PV inverters technology.

Battery Lifetime Estimation Based on Usage Pattern

2021 ◽  
pp. 353-365
Author(s):  
Manu Gupta ◽  
Shruti Mary ◽  
Jay Trivedi ◽  
Jai Goyal ◽  
Priyanka Maan ◽  
...  
Keyword(s):  
Usage Pattern ◽  
Lifetime Estimation ◽  
Battery Lifetime

An Advanced Wireless Sensor Networks Design for Energy-Efficient Applications Using Condition-Based Access Protocol

2021 ◽  
pp. 171-186
Author(s):  
Vijendra Babu D. ◽  
K. Nagi Reddy ◽  
K. Butchi Raju ◽  
A. Ratna Raju
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Energy Efficient ◽  
Network Throughput ◽  
Wireless Sensor ◽  
Sleep Mode ◽  
Medium Access ◽  
Access Protocol ◽  
Battery Lifetime

A modern wireless sensor and its development majorly depend on distributed condition maintenance protocol. The medium access and its computing have been handled by multi hope sensor mechanism. In this investigation, WSN networks maintenance is balanced through condition-based access (CBA) protocol. The CBA is most useful for real-time 4G and 5G communication to handle internet assistance devices. The following CBA mechanism is energy efficient to increase the battery lifetime. Due to sleep mode and backup mode mechanism, this protocol maintains its energy efficiency as well as network throughput. Finally, 76% of the energy consumption and 42.8% of the speed of operation have been attained using CBI WSN protocol.

Energy-Efficient Smart Cities with Green Internet of Things

2021 ◽  
pp. 345-361
Author(s):  
Mudita Sinha ◽  
Elizabeth Chacko ◽  
Priya Makhija ◽  
Sabyasachi Pramanik
Keyword(s):  
Internet Of Things ◽  
Energy Efficient ◽  
Smart Cities
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