Energy-efficient MAC protocols for wireless sensor networks: a survey

Afroz, Farhana; Braun, Robin

doi:10.1504/ijsnet.2020.105563

Cited by 25 publications

(9 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Energy savings in a WSN can be easily attained by designing efficient MAC protocols. WSN MAC protocols are concerned with energy consumption as well as network adaptability, reliability, and scalability states F a r h a n a A f r o z and B r a u n [49]. According to I n d r a S h a h , M a i t y and D o h a r e [50], MAC protocols are due to radio functionalities such as idle listening, collisions, overhearing, control packet overhead, sleep/active period, and data overflow in the network.…”

Section: Mac Protocol Approachmentioning

confidence: 99%

“…The decision-making process for energy production is also affected by battery status. F a r h a n a A f r o z and B r a u n [49] clearly discuss how MAC protocols are classified into three types: TDMA-based, contention-based, and hybrid. Contentionbased MAC protocols are further subdivided into synchronous and asynchronous protocols.…”

Section: Mac Protocol Approachmentioning

confidence: 99%

See 1 more Smart Citation

Role of Clustering, Routing Protocols, MAC protocols and Load Balancing in Wireless Sensor Networks: An Energy-Efficiency Perspective

Munusamy¹,

Vijayan²,

Ezhilarasi³

2021

Cybernetics and Information Technologies

View full text Add to dashboard Cite

Wireless networks play an important role in science, including medicine, agriculture, the military, geography, and so on. The main issue with a network of wireless sensors is how to manage resource utilization to extend its lifetime. This paper investigates the various aspects of increased energy usage that may improve network life. Variables related to energy consumption and various performance metrics are investigated in terms of energy efficiency. To investigate how the network’s energy usage can be managed, a quick overview of clustering protocols, routing protocols, MAC protocols, and load balancing protocols is conducted. This paper can provide researchers with an idea of the various parameters that influence energy consumption and what methodologies could be adapted by each parameter to conserve energy, thereby extending the network’s lifetime.

show abstract

Section: Mac Protocol Approachmentioning

confidence: 99%

Section: Mac Protocol Approachmentioning

confidence: 99%

Role of Clustering, Routing Protocols, MAC protocols and Load Balancing in Wireless Sensor Networks: An Energy-Efficiency Perspective

Munusamy¹,

Vijayan²,

Ezhilarasi³

2021

Cybernetics and Information Technologies

View full text Add to dashboard Cite

show abstract

“…Currently researchers have brought up many MAC protocols [26] for different sensor network applications, but there is no any unified method to classify sensor network MAC protocols yet [27]. In this paper MAC protocols are roughly classified into three types: First, distributed control or central control; second, single sharing channel or multiple channels; and at last, fixed distribution channel or random visit channel.…”

Section: Common Mac Protocolsmentioning

confidence: 99%

Movable Platform-Based Topology Detection for a Geographic Routing Wireless Sensor Network

Wang

Chen

2020

Sensors

View full text Add to dashboard Cite

With the increasing adoption of the Internet-of-Things (IoT), the wireless sensors network (WSN), as an underlying application of IoT, has attracted increasing attention. Topology, the working structure used to observe WSN, is the most instinctive form in troubleshooting and has great significance to WSN management and safety. To this end, it is imperative to recover WSN topology for the purpose of network management and non-cooperative network detection. Traditional network topology recovery mainly relies on the monitoring modules installed in nodes, or an extra network attached. However, these two approaches have several limitations, such as high energy consumption for monitoring nodes, time synchronization problems, reuse failure, limitation to specific targeted networks and high cost. In this paper, we present a new approach to recover the topology of WSN that adopts location-based routing protocols, based on movable platforms. Our observation is that the network topology is consistent with the node routing, as the nodes choose the next hop according to the geological position of neighbor nodes. Hence, we calculate the cost parameters of choosing routing nodes for the targeted network according to the partial connection of the nodes. Based on those cost parameters, we can determine the topology of the whole network. More specifically, by collecting the geological position and data packets of the nodes from movable platforms, we are able to infer the topology of the WSN according to the recovered partial connection of nodes. Our approach can be easily adopted to many scenarios, especially for non-cooperative large-scale networks. The evaluation of 30 simulations shows that the accuracy of recovery is above 90%.

show abstract

“…A performance evaluation of a modified existing MAC approach for a Cognitive Radio Based Wireless Network (CRWN), as an emerging trend in the current network era, was undertaken using game theory leading, to significant enhancements of several of the aforementioned attributes [8]. Due to the widespread application areas of wireless sensor networks (WSNs), a great number of research activities have focused on developing energyefficient MAC schemes to prolong the overall lifetime of a typical WSN application, while satisfying other attributes at a desirable level [9,10]. Efficient MAC solutions are required to maintain an efficient utilization of limited resources for Flying Ad-hoc Networks (FANETs), as the mobility of Unmanned Aerial Vehicles (UAVs) is quite high, subject to frequent topology changes.…”

Section: Introductionmentioning

confidence: 99%

Improving the Performance of ALOHA with Internet of Things Using Reinforcement Learning

Acik,

Kosunalp,

Tabakcioglu

et al. 2023

Electronics

View full text Add to dashboard Cite

Intelligent medium access control (MAC) protocols have been a vital solution in enhancing the performance of a variety of wireless networks. ALOHA, as the first MAC approach, inspired the development of several MAC schemes in the network domain, with the primary advantage of simplicity. In this article, we present design, implementation, and performance evaluations of the ALOHA approach, through significant improvements in attaining high channel utilization as the most important performance metric. A critical emphasis is currently focused on removing the burden of packet collisions, while satisfying requirements of energy and delay criteria. We first implement the ALOHA protocol to practically explore its performance behaviors in comparison to analytical models. We then introduce the concept of dynamic payload instead of fixed-length packets, whereby a dynamic selection of the length of each transmitted packet is employed. Another specific contribution of this paper is the integration of the transmission policy of ALOHA with the potential of Internet of Things (IoT) opportunities. The proposed policy utilizes a state-less Q-learning strategy to achieve the maximum performance efficiency. Performance outputs prove that the proposed idea ensures a maximum throughput of approximately 58%, while ALOHA is limited to nearly 18% over a single-hop scenario.

show abstract

Energy-efficient MAC protocols for wireless sensor networks: a survey

Cited by 25 publications

References 44 publications

Role of Clustering, Routing Protocols, MAC protocols and Load Balancing in Wireless Sensor Networks: An Energy-Efficiency Perspective

Role of Clustering, Routing Protocols, MAC protocols and Load Balancing in Wireless Sensor Networks: An Energy-Efficiency Perspective

Movable Platform-Based Topology Detection for a Geographic Routing Wireless Sensor Network

Improving the Performance of ALOHA with Internet of Things Using Reinforcement Learning

Contact Info

Product

Resources

About