Enhanced traffic-adaptive slotted MAC for IoT-based smart monitoring grid

Sood, Tanvi; Sharma, Kanika

doi:10.1007/s11227-020-03588-1

Cited by 5 publications

(6 citation statements)

References 32 publications

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“…The literature has concentrated on the optimization of MAC protocols in the networks of wireless sensors for critical applications in areas such as emergency alerting and monitoring as well as health care [ 27 , 28 ]. Those subcategories are general approaches, game theory-based approaches, heuristic-based approaches, meta-heuristic-based approaches, machine learning-based approaches, and MAC scheduling in cross-layer approaches.…”

Section: State-of-the-art Approaches For Mac-protocols Optimizationmentioning

confidence: 99%

Conceptual Framework for Future WSN-MAC Protocol to Achieve Energy Consumption Enhancement

Sadeq

Hassan

Sallehudin

et al. 2022

Sensors

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Nowadays, the rapid deployment of Wireless Sensor Networks (WSNs) and the integration of Internet of Things (IoT) technology has enabled their application to grow in various industrial fields in our country. Various factors influence the success of WSN development, particularly improvements in Medium Access Control (MAC) protocols, for which WSNs-IoT are deemed vital. Several aspects should be considered, such as energy consumption reduction, performance, scalability for a large deployment of nodes, and clustering intelligence. However, many protocols address this aspect in a constrained view of handling the medium access. This work presents a state-of-the-art review of recently proposed WSN MAC protocols. Different methods and approaches are proposed to enhance the main performance factors. Various performance issue factors are considered to be the main attribute that the MAC protocol should support. A comparison table is given to provide further details about using these approaches and algorithms to improve performance issues, such as network throughput, end-to-end delay, and packet drop, translated into energy consumption.

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Section: State-of-the-art Approaches For Mac-protocols Optimizationmentioning

confidence: 99%

Conceptual Framework for Future WSN-MAC Protocol to Achieve Energy Consumption Enhancement

Sadeq

Hassan

Sallehudin

et al. 2022

Sensors

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“…There needs to be a conceptual formulation of the hybrid solution in order to tune the required parameters based on the traffic demand. Tanvi and Kanika 33 introduced Traffic Adaptive Slot‐Assignment MAC (TASA‐MAC) for substantial IoT Net‐based smart monitoring grids, using a 1‐octet short addressing scheme and short TDMA slots to increase efficiency. This approach performs better in energy efficiency, throughput, and delay.…”

Section: Related Workmentioning

confidence: 99%

An optimized joint medium access control and routing protocol with iterative contention window adjustment mechanism for a guaranteed lifetime in Internet of Things‐based wireless sensor networks

Nizampatnam

Shankar

Yamuna

2022

Int J Communication

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The problem of extending the lifespan of wireless sensor networks (WSN) based on the Internet of Things (IoT) has been widely investigated over the last 20 years. This paper proposes an Optimized J-RMAC (optimized joint routing and media access control protocol) to guarantee the network lifetime in IoT-based WSN. Initially, all sensor nodes report their position and coverage information to the sink, which uses this information to pick a list of active nodes based on energy usage and active time. Then, the k-covered network is formed to execute the routing task by selecting the active nodes with the largest sensing areas. A multi-objective seagull optimization algorithm (MO-SOA) represents routing paths between the source and destination by considering two objective functions: energy consumption cost and end-to-end delay of a routing path. After that, the contention window of the nodes in the routing path is adjusted using a new iterative adaptive adjustment process of the contention window with adjustment parameters (IAACW-AP) to avoid message conflicts. The proposed protocol is simulated in the NS2 simulator. The performance of the proposed protocol will be compared with existing strategies in terms of network lifetime, packet delivery ratio, communication overhead, energy consumption, and delay.

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“…It should be stressed that this work focuses on improving channel utilization measured by the proportion of the consumed time slots in TDMA frames to those assigned to the nodes, that is, we make efforts on making as many time slots in TDMA frames consumed by the nodes as possible. In order to pay full attention to slot assignment, as done in the existing work [23][24][34], we do not consider transmit power and the other physical layer parameters in this study. For simple description, we assume the link between the sink and each node is reliable [25], that is, a data packet can be successfully received without bit error.…”

Section: System Modelmentioning

confidence: 99%

“…We compare the FFSS and the AFSS with the Fixed‐Order TDMA Scheme (FOS) [8], the Traffic‐Adaptive Slot‐Assignment (TASA) [34], and the Slot‐Hitting Ratio‐based TDMA schedule (SHR‐TDMA) [21]. In the FOS, the nodes share the channel via TDMA and access the channel one by one in a fixed order.…”

Section: Performance Evaluationmentioning

confidence: 99%

“…In the eventdriven simulation, we assume that energy packet arrivals at a node follow a Poisson distribution with rate 𝜆 e [33], and the data packet arrivals at a node with Mode II follow a Poisson distribution with rate 𝜆 d . As stated in [10], the duration of one slot is set to 1 ms. We compare the FFSS and the AFSS with the Fixed-Order TDMA Scheme (FOS) [8], the Traffic-Adaptive Slot-Assignment (TASA) [34], and the Slot-Hitting Ratio-based TDMA schedule (SHR-TDMA) [21]. In the FOS, the nodes share the channel via TDMA and access the channel one by one in a fixed order.…”

Section: Performance Evaluationmentioning

confidence: 99%

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TDMA scheduling schemes targeting high channel utilization for energy‐harvesting wireless sensor networks

et al. 2021

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As a contention-free channel access protocol, Time Division Multiple Access (TDMA) is widely applied in Energy Harvesting Wireless Sensor Networks (EH-WSNs) due to ease of implementation. TDMA scheduling in EH-WSNs faces the problem of low channel utilization since time slots assigned to some nodes may not be used by them due to shortage of energy or data. It is important to design TDMA scheduling schemes that enhance channel utilization. In this paper, the Fixed Frame Size Scheme (FFSS) and the Adaptive Frame Size Scheme (AFSS) are proposed to improve channel utilization of EH-WSNs. The FFSS aims at the optimal TDMA slot assignment for the TDMA scheduling with fixed frame size, and the AFSS considers the TDMA with variable frame size and targets both the optimal frame size and the optimal slot assignment. The optimization problems maximizing channel utilization are formulated for the FFSS and the AFSS, respectively, which take the upcoming energy and data into account. The optimization problems are transformed into assignment-like problems and solved by the Hungarian-based algorithm in polynomial time. Simulation results indicate that the proposed FFSS and AFSS can considerably improve channel utilization in the EH-WSNs compared with the existing TDMA scheduling schemes. INTRODUCTIONBeing main components of the Internet of Things (IoT), Wireless Sensor Networks (WSNs) have been widely deployed. The drawback of inconvenient replacing battery in the traditional WSNs is remedied by energy-harvesting technique, which brings in various Energy-Harvesting WSNs (EH-WSNs) [1]. Nodes in the EH-WSNs can gain sustainable operation by scavenging energy from ambient energy sources [2-4], including radio frequency, sun light, wind, etc. Channel access or medium access schemes in the EH-WSNs can be classified as contention-free and contention-based [5]. The representatives of contention-free and contentionbased schemes are Time Division Multiple Access (TDMA) and Carrier Sensing Multiple Access/Colission Avoidance (CSMA/CA), respectively. In addition to easy implementation, TDMA has advantages of collision-free, energy-efficient, andThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Enhanced traffic-adaptive slotted MAC for IoT-based smart monitoring grid

Cited by 5 publications

References 32 publications

Conceptual Framework for Future WSN-MAC Protocol to Achieve Energy Consumption Enhancement

Conceptual Framework for Future WSN-MAC Protocol to Achieve Energy Consumption Enhancement

An optimized joint medium access control and routing protocol with iterative contention window adjustment mechanism for a guaranteed lifetime in Internet of Things‐based wireless sensor networks

TDMA scheduling schemes targeting high channel utilization for energy‐harvesting wireless sensor networks

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