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 An Adaptive Beamforming Time with Round-Robin MAC Algorithm for Reducing Energy Consumption in MANET

2018 ◽  
Vol 7 (4) ◽  
pp. 50 ◽  
Author(s):  
Vincenzo Inzillo ◽  
Floriano Rango ◽  
Alfonso Quintana ◽  
Amilcare Santamaria
Keyword(s):  
Energy Consumption ◽  
High Performance ◽  
Network Performance ◽  
Ad Hoc ◽  
Smart Antenna ◽  
Adaptive Beamforming ◽  
Round Robin ◽  
Medium Access Control Protocols ◽  
Medium Access ◽  
Hoc Networks

The use of smart antenna systems (SASs) in mobile ad hoc networks (MANETs) has been promoted as the best choice to improve spatial division multiple access (SDMA) and throughput. Although directional communications are expected to provide great advantages in terms of network performance, directional MAC (medium access control) protocols introduce several issues. One of the most known problems in this context is represented by the fact that, when attempting to solve or at least mitigate the problems introduced by these kinds of antennas especially at MAC layer, a large amount of energy consumption is achieved; for example, due to excessive retransmissions introduced by very frequently issue such as deafness and handoff. The expedients proposed in order to reduce these drawbacks attempting to limit beamforming time of nodes in cooperation with a round-robin scheduling can grant high performance in terms of fairness and throughput. However, the overall energy distribution in the network is not efficient due to static approach. In view of this, we propose adaptive beamforming time with round-robin MAC providing a dynamic assignment of the beamforming time with the aim to limit the waste of energy of nodes. The proposed approach provides benefits in terms of energy consumption distribution among nodes in sectorized antennas environments and, simultaneously, improves MAC packet performance.

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 Optimal UAV Deployment for Data Collection in Deadline-based IoT Applications

2018 ◽  
Vol 15 (4) ◽  
pp. 484-491 ◽  
Author(s):  
Baghdad Science Journal
Keyword(s):  
Energy Consumption ◽  
Data Collection ◽  
Internet Of Things ◽  
Programming Model ◽  
Minimum Energy ◽  
Optimal Solution ◽  
Mixed Integer ◽  
Iot Applications ◽  
Minimum Energy Consumption ◽  
Efficient Data

The deployment of UAVs is one of the key challenges in UAV-based communications while using UAVs for IoT applications. In this article, a new scheme for energy efficient data collection with a deadline time for the Internet of things (IoT) using the Unmanned Aerial Vehicles (UAV) is presented. We provided a new data collection method, which was set to collect IoT node data by providing an efficient deployment and mobility of multiple UAV, used to collect data from ground internet of things devices in a given deadline time. In the proposed method, data collection was done with minimum energy consumption of IoTs as well as UAVs. In order to find an optimal solution to this problem, we will first provide a mixed integer linear programming model (MILP) and then we used a heuristic to solve the time complexity problem. The results obtained in the simulation results indicate the optimal performance of the proposed scheme in terms of energy consumption and the number of used UAVs.

scholarly journals MAC protocol with grouping awareness GMAC for large scale Internet-of-Things network

2021 ◽  
Vol 7 ◽  
pp. e733
Author(s):  
Abdulrahman Sameer Sadeq ◽  
Rosilah Hassan ◽  
Azana Hafizah Mohd Aman ◽  
Hasimi Sallehudin ◽  
Khalid Allehaibi ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Large Scale ◽  
Ieee 802.15.4 ◽  
Mac Protocol ◽  
Cluster Head ◽  
Delivery Ratio ◽  
Energy Aware ◽  
Medium Access ◽  
Two Stages

The development of Medium Access Control (MAC) protocols for Internet of Things should consider various aspects such as energy saving, scalability for a wide number of nodes, and grouping awareness. Although numerous protocols consider these aspects in the limited view of handling the medium access, the proposed Grouping MAC (GMAC) exploits prior knowledge of geographic node distribution in the environment and their priority levels. Such awareness enables GMAC to significantly reduce the number of collisions and prolong the network lifetime. GMAC is developed on the basis of five cycles that manage data transmission between sensors and cluster head and between cluster head and sink. These two stages of communication increase the efficiency of energy consumption for transmitting packets. In addition, GMAC contains slot decomposition and assignment based on node priority, and, therefore, is a grouping-aware protocol. Compared with standard benchmarks IEEE 802.15.4 and industrial automation standard 100.11a and user-defined grouping, GMAC protocols generate a Packet Delivery Ratio (PDR) higher than 90%, whereas the PDR of benchmark is as low as 75% in some scenarios and 30% in others. In addition, the GMAC accomplishes lower end-to-end (e2e) delay than the least e2e delay of IEEE with a difference of 3 s. Regarding energy consumption, the consumed energy is 28.1 W/h for GMAC-IEEE Energy Aware (EA) and GMAC-IEEE, which is less than that for IEEE 802.15.4 (578 W/h) in certain scenarios.

scholarly journals An Adaptive Beamforming Time with Round Robin MAC Algorithm for Reducing Energy Consumption in MANET

2018 ◽  
Author(s):  
Vincenzo Inzillo ◽  
Floriano De Rango ◽  
Alfonso Ariza Quintana ◽  
Amilcare Francesco Santamaria
Keyword(s):  
Energy Consumption ◽  
High Performance ◽  
Network Performance ◽  
Ad Hoc ◽  
Smart Antenna ◽  
Adaptive Beamforming ◽  
Round Robin ◽  
Medium Access Control Protocols ◽  
Medium Access ◽  
Hoc Networks

The use of Smart Antenna Systems (SAS) in pervasive environments such the Mobile Ad hoc Networks (MANET) has been promoted as the best choice to improve Spatial Division Multiple Access (SDMA) and throughput. Although directional communications are expected to provide great advantages in terms of network performance, directional MAC (Medium Access Control) protocols introduce several issues. One of the most known problems in this context is represented by the fact that, attempting to solve or at least mitigate the problems introduced by these kinds of antennas especially at MAC layer, a large amount of energy consumption is achieved ; for example, due to excessive retransmissions introduced by very frequently issue such as deafness and handoff. The expedients proposed in order to reduce these drawbacks attempting to limit beamforming time of nodes in cooperation with a Round-Robin scheduling, can grant high performance in terms of fairness and throughput. However the overall energy consumption in the network is not efficent due to the static approach. In view of this, we propose an Adaptive Beamforming Time with Round-Robin MAC providing for a dynamic assignment of the beamforming time with the purpose to limit the waste of energy of nodes.

CLOUD BASED INTERNET OF THINGS FOR SMART CONNECTED OBJECTS

2019 ◽  
Vol 01 (02) ◽  
pp. 31-39 ◽  
Author(s):  
Duraipandian M. ◽  
Vinothkanna R.
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Smart Home ◽  
Electricity Consumption ◽  
Considerable Improvement ◽  
The Internet ◽  
The Internet Of Things ◽  
At Home

The paper proposing the cloud based internet of things for the smart connected objects, concentrates on developing a smart home utilizing the internet of things, by providing the embedded labeling for all the tangible things at home and enabling them to be connected through the internet. The smart home proposed in the paper concentrates on the steps in reducing the electricity consumption of the appliances at the home by converting them into the smart connected objects using the cloud based internet of things and also concentrates on protecting the house from the theft and the robbery. The proposed smart home by turning the ordinary tangible objects into the smart connected objects shows considerable improvement in the energy consumption and the security provision.

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