scholarly journals High-Performance Long Range-Based Medium Access Control Layer Protocol

Electronics ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1273
Author(s):  
Yang Liu ◽  
Lei Liu ◽  
Jiacheng Liang ◽  
Jin Chai ◽  
Xuemei Lei ◽  
...  
Keyword(s):  
Access Control ◽  
Medium Access Control ◽  
Long Range ◽  
Data Transmission ◽  
Multiple Access ◽  
High Performance ◽  
Medium Access ◽  
Long Distance ◽  
Heavy Load ◽  
Code Division Multiple

Long Range (LoRa) has become one of the most promising physical layer technologies for the Internet of Things (IoT) ecosystem. Although it manifests low-power consumption and long-distance communication, LoRa encounters a large number of collisions in the IoT environment, which severely affects the system’s throughput and delay performance. In this paper, a code division carrier sense multiple access (CD/CSMA) protocol that resolves the traditional channel collision problem and implements multi-channel transmission is proposed for the LoRa medium access control (MAC) layer. To reduce data transmission delay and maximize the throughput of the system, the adaptive p-persistent CSMA protocol divides the channel load into four states and dynamically adjusts the data transmission probability. Then, to reduce channel collisions significantly, the code division multiple access (CDMA) protocol is performed on different channel states. Moreover, the combination of the proposed adaptive p-persistent CSMA protocol and the CDMA successfully reduces the number of data retransmissions and makes LoRa more stable. The simulation results demonstrate that the proposed adaptive p-persistent CD/CSMA protocol can achieve near-optimal and occasionally even better performance than some conventional MAC protocols, especially in a heavy load channel.

scholarly journals A New Medium Access Control Mechanism for Energy Optimization in WSN: Traffic Control and Data Priority Scheme

2021 ◽  
Author(s):  
imen Bouazzi ◽  
Monji Zaidi ◽  
Mohammed Usman ◽  
M.Z Shamim
Keyword(s):  
Access Control ◽  
Medium Access Control ◽  
Traffic Control ◽  
Data Transmission ◽  
Multiple Access ◽  
Energy Optimization ◽  
Sensor Nodes ◽  
Medium Access ◽  
Access Methods ◽  
Battery Capacity

Abstract Over the last few years, energy optimization in Wireless Sensor Networks (WSNs) has drawn the attention of both the research community and actual users. Sensor nodes are powered by attached batteries that are considered as a critical aspect of sensor nodes design. Besides, the constraint of the limited battery capacity is associated with the concern on how to reduce the energy consumption of nodes to extend the network lifetime. In this context, the purpose of this study is to implement an adaptive Medium Access Control (MAC) for energy saving and traffic control enhancement. This program was designed to arrange nodes into two priority groups according to their traffic rate and data transmission packet delay. This fuzzy algorithm depends on their queue length where it is implemented into the Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) algorithm. However, other types of nodes should send their data during the Contention Free Period (CFP) with a GTS reallocation scheme. Those nodes are classified as low priority access to the medium and their data transmission is scheduled using time division multiple access methods. Moreover, this proposed scheme dynamically adjusts the Contention Access Period (CAP) length to ensure that nodes can complete their data transmission during the same super-frame. Simulation results are done using the Network Simulator tool (NS-2) and it has improved efficiency regarding the IEEE-802.15.4 standard.

scholarly journals MAC Layer Protocols for Internet of Things: A Survey

2019 ◽  
Vol 11 (1) ◽  
pp. 16 ◽  
Author(s):  
Luiz Oliveira ◽  
Joel Rodrigues ◽  
Sergei Kozlov ◽  
Ricardo Rabêlo ◽  
Victor Albuquerque
Keyword(s):  
Internet Of Things ◽  
Access Control ◽  
Medium Access Control ◽  
Long Range ◽  
Radio Frequency Identification ◽  
Ieee 802.15.4 ◽  
Mac Layer ◽  
Medium Access ◽  
Long Distance ◽  
Research Issues

Due to the wide variety of uses and the diversity of features required to meet an application, Internet of Things (IoT) technologies are moving forward at a strong pace to meet this demand while at the same time trying to meet the time-to-market of these applications. The characteristics required by applications, such as coverage area, scalability, transmission data rate, and applicability, refer to the Physical and Medium Access Control (MAC) layer designs of protocols. This paper presents a deep study of medium access control (MAC) layer protocols that are used in IoT with a detailed description of such protocols grouped (by short and long distance coverage). For short range coverage protocols, the following are considered: Radio Frequency Identification (RFID), Near Field Communication (NFC), Bluetooth IEEE 802.15.1, Bluetooth Low Energy, IEEE 802.15.4, Wireless Highway Addressable Remote Transducer Protocol (Wireless-HART), Z-Wave, Weightless, and IEEE 802.11 a/b/g/n/ah. For the long range group, Narrow Band IoT (NB-IoT), Long Term Evolution (LTE) CAT-0, LTE CAT-M, LTE CAT-N, Long Range Protocol (LoRa), and SigFox protocols are studied. A comparative study is performed for each group of protocols in order to provide insights and a reference study for IoT applications, considering their characteristics, limitations, and behavior. Open research issues on the topic are also identified.

scholarly journals A new medium access control mechanism for energy optimization in WSN: traffic control and data priority scheme

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Imen Bouazzi ◽  
Monji Zaidi ◽  
Mohammed Usman ◽  
Mohammed Zubair M. Shamim
Keyword(s):  
Access Control ◽  
Medium Access Control ◽  
Traffic Control ◽  
Data Transmission ◽  
Multiple Access ◽  
Energy Optimization ◽  
Sensor Nodes ◽  
Medium Access ◽  
Access Methods ◽  
Battery Capacity

AbstractOver the last few years, energy optimization in wireless sensor networks (WSNs) has drawn the attention of both the research community and actual users. Sensor nodes are powered by attached batteries that are considered as a critical aspect of sensor nodes design. Besides, the constraint of the limited battery capacity is associated with the concern on how to reduce the energy consumption of nodes to extend the network lifetime. In this context, the purpose of this study is to implement an adaptive medium access control (MAC) for energy saving and traffic control enhancement. This program was designed to arrange nodes into two priority groups according to their traffic rate and data transmission packet delay. This fuzzy algorithm depends on their queue length where it is implemented into the carrier sense multiple access with collision avoidance (CSMA/CA) algorithm. However, other types of nodes should send their data during the contention-free period with a GTS reallocation scheme. Those nodes are classified as low priority access to the medium, and their data transmission is scheduled using time division multiple access methods. Moreover, this proposed scheme dynamically adjusts the contention access period length to ensure that nodes can complete their data transmission during the same super-frame. Simulation results are done using the network simulator tool (NS-2), and it has improved efficiency regarding the IEEE-802.15.4 standard.

scholarly journals A New Medium Access Control Mechanism for Energy Optimization in Wsn: Traffic Control and Data Priority Scheme

2020 ◽  
Author(s):  
imen Bouazzi ◽  
Monji Zaidi ◽  
Mohammed Usman ◽  
M.Z Shamim
Keyword(s):  
Access Control ◽  
Medium Access Control ◽  
Traffic Control ◽  
Data Transmission ◽  
Multiple Access ◽  
Ieee 802.15.4 ◽  
Energy Optimization ◽  
Medium Access ◽  
Access Methods ◽  
Battery Capacity

Abstract Over the last few years, energy optimization in Wireless Sensor Networks (WSNs) has drawn the attention of both the research community and actual users.Sensor nodes are powered by attached batteries that are considered as a critical aspect of sensor nodes design.Besides, the constraint of the limited battery capacity is associated with the concern on how to reduce the energy consumption of nodes to extend the network lifetime. In this context, the purpose of this study is to implement an adaptive Medium Access Control (MAC) for energy saving and traffic control enhancement. This program was designed to arrange nodes into two priority groups according to their traffic rate and data transmission packet delay. This fuzzy algorithm depends on their queue length where it is implemented into the Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) algorithm.However, other types of nodes should send their data during the Contention Free Period (CFP) with a GTS reallocation scheme. Those nodes are classified as low priority access to the medium and their data transmission is scheduled using time division multiple access methods. Moreover, this proposed scheme dynamically adjusts the Contention Access Period (CAP) length to ensure that nodes can complete their data transmission during the same super-frame. Simulation results are done using the Network Simulator tool (NS-2) and it has improved efficiency regarding the IEEE-802.15.4 standard.

Sign in / Sign up

Export Citation Format

Share Document