Service Time-Based Region Division in OVSF-Based Wireless Networks with Adaptive LTE-M Network for Machine to Machine Communications

Balyan, Vipin; Saini, Davinder S.; Gupta, Bhasker

doi:10.1155/2019/3623712

Cited by 4 publications

(3 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, it was only suitable for a smaller number of M2M devices and should consider resource allocation for a huge number of devices. Minimizing delay metrics has been the focus for achieving QoS in M2M communication systems [25,26]. A novel random-access scheme incorporating virtual preambles was developed to minimize access delay and collisions.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient MAC for M2M Communication Using Dynamic TDMA in IoT Network

Narender Reddy Kampelli,

Puttha Chandrasekhar Reddy

2023

ARASET

View full text Add to dashboard Cite

In the Internet of Things (IoT) context, the relevance of M2M communication increased, creating the need for practical solutions. MTCDs, or Machine Type Communication Devices, frequently encounter issues such as collisions and delays while transmitting data, ensuring network scalability and maintaining the quality of service (QoS) for all devices participating in the communication. To address these challenges, this paper presents the protocol for switching MAC that optimizes energy usage with Dynamic Time Division Multiple Access (EMAC-DTDMA). TheEMAC-DTDMA protocol involves grouping, dynamic MAC switching, and timeslot allocation. The Harris Hawks Optimization (HHO) algorithm is applied to choose the cluster head of the machine type communication devices (MTCH) while the CSMA/CA and CSMA/CARP protocols with different backoff times are used to minimize collisions based on device density, backlog, and active nodes. The timeslots are allocated based on data size and QoS requirements using Dynamic TDMA. The Markov chain model is employed to overcome synchronization issues with traditional TDMA. The EMAC-DTDMA's performance is evaluated through simulation using a network simulator tool, considering access delay, energy usage, collision probability, and throughput.

show abstract

Section: Related Workmentioning

confidence: 99%

Energy Efficient MAC for M2M Communication Using Dynamic TDMA in IoT Network

Narender Reddy Kampelli,

Puttha Chandrasekhar Reddy

2023

ARASET

View full text Add to dashboard Cite

show abstract

“…Owing to its autonomous mode of operation, M2M is making major inroads into the world of IoT as more research is being made to make IoT networks as smart and efficient as possible. M2M makes it possible to develop applications that optimally monitor and manage smart buildings, healthcare services, smart irrigation in agriculture, smart transport systems, and public safety (57)(58)(59)(60)(61)(62).…”

Section: Machine-to-machine Communication (M2m)mentioning

confidence: 99%

An Overview of IoT Solutions in Climate Smart Agriculture for Food Security in Sub Saharan Africa: Challenges and Prospects

Dibal

Onwuka

Zubair

et al. 2022

EAI Endorsed Trans IoT

View full text Add to dashboard Cite

INTRODUCTION: Climate smart agriculture (CSA) which involves the integration of IoT and cloud computing is an emerging agricultural paradigm that is foreseen to be the main driver of agriculture as the 21st century progresses. Sub-Saharan Africa lags in this regard and therefore deserves a special focus. OBJECTIVES: This paper presents an overview of Internet-of-Things (IoT) solutions in CSA in the context of food security in sub-Saharan Africa (SSA) METHODS: An overview of the status of food insecurity in SSA and associated factors is presented. The paper then focused on IoT as a technology and how it can be used for CSA in SSA through use cases; possible challenges were also examined. RESULTS: The paper showed that with CSA, SSA can become a net exporter of food. CONCLUSION: The paper concludes with open issues like the funding of research and development which must be addressed if SSA is to leverage IoT technology to attain food security.

show abstract

“…hence lower priority for M2M fails to assist QoS. The resource allocation in orthogonal variable spreading factor (OVSF) also based on the priority [28]. An admission control model with delay-sensitive and delay-tolerant first requests [29].…”

Section: Related Workmentioning

confidence: 99%

A Scalable and Power Efficient MAC Protocol with Adaptive TDMA for M2M Communication

Reddy

Bhandari

2022

Preprint

View full text Add to dashboard Cite

In 5G cellular networks Machine type communication devices (MTCD) for Machine-to-Machine (M2M) communication are subjected to the problem of collisions, delay, scalability and quality of service (QoS) during data transmission. The M2M communication has become ubiquitous into Internet of things (IoT). A power efficient MAC switching protocol and adaptive Time Division Multiple Access (PMAC-ATDMA) is presented to solve the issue of collision, QoS and scalability in this paper for M2M Communication. This consists of grouping, dynamic MAC switching and allotment of timeslots. In grouping processing of MTCDs, using Harris Hawks Optimization (HHO) algorithm is used for selecting a head i.e. MTC head (MTCH). CSMA/CA and CSMA/CARP protocols differ in back off time are used, switching between them happens based on the density, backlogged devices and active nodes that reduces collisions. The timeslots are assigned by ATDMA, in accordance with the data size and requirements of QoS. The problem of synchronization in traditional TDMA is overcome by the use of Markov chain model the simulation of this PMAC-ATDMA is performed in network simulator tool. The evaluation is performed in terms of access delay, energy, probability of collision and successful packet transmissions.In 5G cellular networks Machine type communication devices (MTCD) for Machine-to-Machine (M2M) communication are subjected to the problem of collisions, delay, scalability and quality of service (QoS) during data transmission. The M2M communication has become ubiquitous into Internet of things (IoT). A power efficient MAC switching protocol and adaptive Time Division Multiple Access (PMAC-ATDMA) is presented to solve the issue of collision, QoS and scalability in this paper for M2M Communication. This consists of grouping, dynamic MAC switching and allotment of timeslots. In grouping processing of MTCDs, using Harris Hawks Optimization (HHO) algorithm is used for selecting a head i.e. MTC head (MTCH). CSMA/CA and CSMA/CARP protocols differ in back off time are used, switching between them happens based on the density, backlogged devices and active nodes that reduces collisions. The timeslots are assigned by ATDMA, in accordance with the data size and requirements of QoS. The problem of synchronization in traditional TDMA is overcome by the use of Markov chain model the simulation of this PMAC-ATDMA is performed in network simulator tool. The evaluation is performed in terms of access delay, energy, probability of collision and successful packet transmissions.

show abstract

Service Time-Based Region Division in OVSF-Based Wireless Networks with Adaptive LTE-M Network for Machine to Machine Communications

Cited by 4 publications

References 14 publications

Energy Efficient MAC for M2M Communication Using Dynamic TDMA in IoT Network

Energy Efficient MAC for M2M Communication Using Dynamic TDMA in IoT Network

An Overview of IoT Solutions in Climate Smart Agriculture for Food Security in Sub Saharan Africa: Challenges and Prospects

A Scalable and Power Efficient MAC Protocol with Adaptive TDMA for M2M Communication

Contact Info

Product

Resources

About