scholarly journals Experimental Energy Consumption of Frame Slotted ALOHA and Distributed Queuing for Data Collection Scenarios

Sensors ◽  
2014 ◽  
Vol 14 (8) ◽  
pp. 13416-13436 ◽  
Author(s):  
Pere Tuset-Peiro ◽  
Francisco Vazquez-Gallego ◽  
Jesus Alonso-Zarate ◽  
Luis Alonso ◽  
Xavier Vilajosana
Keyword(s):  
Energy Consumption ◽  
Data Collection ◽  
Slotted Aloha ◽  
Experimental Energy

scholarly journals Delay and Energy Consumption Analysis of Frame Slotted ALOHA variants for Massive Data Collection in Internet-of-Things Scenarios

2020 ◽  
Vol 10 (1) ◽  
pp. 327
Author(s):  
Francisco Vázquez-Gallego ◽  
Pere Tuset-Peiró ◽  
Luis Alonso ◽  
Jesus Alonso-Zarate
Keyword(s):  
Energy Consumption ◽  
Data Collection ◽  
Internet Of Things ◽  
Packet Delay ◽  
Massive Data ◽  
Slotted Aloha ◽  
Medium Access Control Protocols ◽  
Medium Access ◽  
Energy Consumption Analysis ◽  
Analytic Expressions

This paper models and evaluates three FSA-based (Frame Slotted ALOHA) MAC (Medium Access Control) protocols, namely, FSA-ACK (FSA with ACKnowledgements), FSA-FBP (FSA with FeedBack Packets) and DFSA (Dynamic FSA). The protocols are modeled using an AMC (Absorbing Markov Chain), which allows to derive analytic expressions for the average packet delay, as well as the energy consumption of both the network coordinator and the end-devices. The results, based on computer simulations, show that the analytic model is accurate and outline the benefits of DFSA. In terms of delay, DFSA provides a reduction of 17% (FSA-FBP) and 32% (FSA-ACK), whereas in terms of energy consumption DFSA provides savings of 23% (FSA-FBP) and 28% (FSA-ACK) for the coordinator and savings of 50% (FSA-FBP) and 24% (FSA-ACK) for end-devices. Finally, the paper provides insights on how to configure each FSA variant depending on the network parameters, i.e., depending on the number of end-devices, to minimize delay and energy expenditure. This is specially interesting for massive data collection in IoT (Internet-of-Things) scenarios, which typically rely on FSA-based protocols and where the operation has to be optimized to support a large number of devices with stringent energy consumption requirements.

scholarly journals Enhancement of Data Collection Performance in Wireless Sensor Networks Based on Path-Constrained Mobile Sink

2021 ◽  
Vol 14 (1) ◽  
pp. 400-409
Author(s):  
Mohamed Borham ◽  
◽  
Ghada Khoriba ◽  
Mostafa-Sami Mostafa ◽  
◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Data Collection ◽  
Routing Protocol ◽  
Maximum Amount ◽  
Wireless Sensor ◽  
Collection Process ◽  
Data Collection Process ◽  
Energy Limitation

Due to the energy limitation in Wireless Sensor Networks (WSNs), most researches related to data collection in WSNs focus on how to collect the maximum amount of data from the network with minimizing the energy consumption as much as possible. Many types of research that are related to data collection are proposed to overcome this issue by using mobility with path constrained as Maximum Amount Shortest Path routing Protocol (MASP) and zone-based algorithms. Recently, Zone-based Energy-Aware Data Collection Protocol (ZEAL) and Enhanced ZEAL have been presented to reduce energy consumption and provide an acceptable data delivery rate. However, the time spent on data collection operations should be taken into account, especially concerning real-time systems, as time is the most critical factor for these systems' performance. In this paper, a routing protocol is proposed to improve the time needed for the data collection process considering less energy consumption. The presented protocol uses a novel path with a communication time-slot assignment algorithm to reduce the count of cycles that are needed for the data collection process with reduction of 50% of the number of cycles needed for other protocols. Therefore, the time and energy needed for data collection are reduced by approximately 25%and 6% respectively, which prolongs the network lifetime. The proposed protocol is called Energy-Time Aware Data Collection Protocol (ETCL).

scholarly journals An Energy-Aware Data Transmission Scheme under the Guarantee of Reliability for 3D WSNs

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
J. H. Zhang ◽  
Z. X. Yi ◽  
C. Y. Peng ◽  
Shahid Hussain
Keyword(s):  
Energy Consumption ◽  
Data Collection ◽  
Data Transmission ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Transmission Scheme ◽  
Energy Aware ◽  
Shortest Path Routing ◽  
Transmission Reliability ◽  
Three Dimensional Space

Three-dimensional wireless sensor networks (3D WSNs) play an important role to provide data collection services for Internet of things (IoT) in the real applications. However, many of the existing WSN data collection researches are based on a relatively simple linear or plane network model. The three-dimensional space problems are simplified to two-dimensional plane, which limits the applicability. In this paper, the data collection in 3D WSN is studied. In the three-dimensional space, we firstly analyze the data loads, energy consumption, and end-to-end (E2E) delay of each node when the network is following the shortest path routing. The mathematical analysis of data loads and E2E delay of each node are presented. Based on the analysis of data loads and energy consumption, an energy-ware data transmission scheme is proposed to achieve the trade-off optimization between the E2E delay and network lifetime under the guarantee of the transmission reliability. The key point of the proposed scheme is to make fully use of the unbalanced energy consumption of the 3D WSN. The performance of the proposed scheme is discussed, analyzed, and evaluated. The theoretical analysis and simulation results show that the E2E network delay and energy efficiency can be improved under the constraint of transmission reliability.

Two-Level Data Collection for an Energy-Efficient Solution in Wireless Sensor Networks

2016 ◽  
Vol 7 (4) ◽  
pp. 50-67 ◽  
Author(s):  
Besma Benaziz ◽  
Okba Kazar ◽  
Laid Kahloul ◽  
Ilham Kitouni ◽  
Samir Bourekkache
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Data Collection ◽  
Timed Automata ◽  
High Energy ◽  
Wireless Sensor ◽  
Data Collection Strategy ◽  
Level Data ◽  
Consumption Data ◽  
The Cost

Density in sensor networks often causes data redundancy, which is often the origin of high energy consumption. Data collection techniques are proposed to avoid retransmission of the same data by several sensors. In this paper, the authors propose a new data collection strategy based on static agents and clustering nodes in wireless sensor network (WSN) for an efficient energy consumption called: Two-Level Data Collection Strategy (TLDC). It consists in two-level hierarchy of nodes grouping. The technique is based on an experience building to perform a reorganization of the groups. Cooperation between agents can be used to reduce the communication cost significantly, by managing the data collection smartly. In order to validate the proposed scheme, the authors use the timed automata (TA) model and UPPAAL engine to validate the proposed strategy; the results after and before reorganization are compared. They establish that the proposed approach reduces the cost of communication in the group and thus minimizes the consumed energy.

On the energy consumption of Pure and Slotted Aloha based RFID anti-collision protocols

2009 ◽  
Vol 32 (5) ◽  
pp. 961-973 ◽  
Author(s):  
Dheeraj Klair ◽  
Kwan-Wu Chin ◽  
Raad Raad
Keyword(s):  
Energy Consumption ◽  
Slotted Aloha

Design of Building Energy Consumption Monitoring Platform

2014 ◽  
Vol 687-691 ◽  
pp. 1066-1070
Author(s):  
Zong Liang Yang ◽  
Yan Min Zhang
Keyword(s):  
Energy Consumption ◽  
Data Collection ◽  
Building Energy ◽  
Dynamic Monitoring ◽  
Building Energy Consumption ◽  
Time Data ◽  
Transmission Modes ◽  
Building Management ◽  
System Data ◽  
Monitoring Platform

The present study analyzed data collection, coding and transmission modes involved in building energy consumption monitoring platform. By analyzing and designing the functions, data collection and management of the system, data analysis and display, data monitoring and remote control, monitoring and prediction and analysis of pipe network, it proposed a design framework of the building energy consumption monitoring platform; and made a verification in the campus building energy consumption monitoring platform, which realized the real-time data collection of energy consumption monitoring and the dynamic monitoring of building energy consumption, and improved the decision level of intelligent building management.

scholarly journals An efficient hybrid model for secure transmission of data by using efficient data collection and dissemination (EDCD) algorithm based WSN

2020 ◽  
Vol 20 (1) ◽  
pp. 545
Author(s):  
Mustafa Mahmood Akawee ◽  
Mohanad Ali Meteab Al-Obaidi ◽  
Haider Mohammed Turki Al-Hilfi ◽  
Sabbar Insaif Jassim ◽  
Tole Sutikno
Keyword(s):  
Energy Consumption ◽  
Data Collection ◽  
Hybrid Model ◽  
Sensor Node ◽  
Sensor Nodes ◽  
Security Issue ◽  
Proposed Model ◽  
Efficient Data ◽  
Secure Transmission ◽  
Efficient Data Collection

<span>Wireless Sensor Network (WSN) is one of the most important elements of the Internet of Things paradigm. Energy consumption is a vital issue in IoT and WSN.  Security primitives in the IoT are energy consuming. Addressed the security issue for transmitted data by IoT sensor node add another challenge in term of energy consumption. finding the satisfactory solutions that reduce power consumption at the same time as making sure the required security services is not always an easy undertaking. Therefore, in this article, we proposed an efficient hybrid model for secure transmission of data from sensor nodes to receivers in WSN applications.  The proposed model includes two algorithms Rivest–Shamir–Adleman (RSA) and efficient data collection and dissemination (EDCD). The key idea behind the proposed model is to prevent to secure sensed data if no significant change between the current data and the last transmitted data by the apply EDCD1 algorithm, which that will help in saving the sensor node energy. The reason for that the size of cipher data is so large compared to the sensed data, which that will increase the energy consumption.  The outcome results shown that the proposed model has a high performance compared to RSA in term of energy consumption.</span>

scholarly journals Review on Construction Procedures of Driving Cycles

2020 ◽  
Vol 5 (2) ◽  
pp. 266-285
Author(s):  
Levente Czégé ◽  
Attila Vámosi ◽  
Imre Kocsis
Keyword(s):  
Energy Consumption ◽  
Data Collection ◽  
Dynamic Simulation ◽  
Statistical Evaluation ◽  
Driving Cycle ◽  
Driving Cycles ◽  
Construction Techniques ◽  
The Future ◽  
Evaluation Of Data

The goal of this paper is to give an overview of the literature of construction techniques of driving cycles. Our motivation for the overview is the future goal of constructing our own driving cycles for various types of vehicles and routes. This activity is part of a larger project focusing on determination of fuel and energy consumption by dynamic simulation of vehicles. Accordingly, the papers dealing with sample route determination, data collection and processing, driving cycle construction procedures, statistical evaluation of data are in our focus.

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