The Research of MAC Protocol Based on Fire System for Wireless Sensor Networks

2011 ◽  
Vol 383-390 ◽  
pp. 4446-4450
Author(s):  
Qing Hui Wang ◽  
Yong Huan Ji ◽  
Hong Yan Guo
Keyword(s):  
Wireless Sensor Networks ◽  
Computer Simulation ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Duty Cycle ◽  
Energy Efficient ◽  
Mac Protocol ◽  
Critical Issue ◽  
Wireless Sensor ◽  
Transmission Period

Energy efficiency is a critical issue for sensornetwork. In this paper, we propose an energy efficient context adaptive MAC protocol for wireless sensor networks. The existing approaches try to minimize energy consumption by controlling the duty cycle of transmission period. The New-MAC forecast energy according to the Markov chain, then adjusts the duty cycle through the energy size, then adjusts the duty cycle through the energy size. Computer simulation using NS2 reveals that the proposed protocol significantly reduces the energy consumption compared with the existing S-MAC.

scholarly journals Energy-Efficient and Fast MAC Protocol in UAV-Aided Wireless Sensor Networks for Time-Critical Applications

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2635 ◽  
Author(s):  
Sabitri Poudel ◽  
Sangman Moh
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Multiple Access ◽  
Mac Protocol ◽  
Mac Protocols ◽  
Wireless Sensor ◽  
Sensing Applications ◽  
Time Critical

Unmanned aerial vehicle (UAV)-aided wireless sensor networks (UWSNs) can be effectively used for time-critical sensing applications. UAVs can be used to collect the sensed data from sensors and transfer them to a base station. The real-time transfer of data is highly desired in the time-critical applications. However, the medium access control (MAC) protocols designed for UWSNs so far are primarily focused on the efficient use of UAVs to collect data in the sensing areas. In this paper, we propose an energy-efficient and fast MAC (EF-MAC) protocol in UWSNs for time-critical sensing applications. EF-MAC adopts carrier sense multiple access (CSMA) for the registration of sensor nodes with a UAV and time division multiple access (TDMA) with variable slot time for the transmission of collected data. The UAV is equipped with two transceivers to minimize both energy consumption and delay in air-to-ground communication. The energy consumption and delay are formally analyzed and the performance of EF-MAC is evaluated via extensive simulation. The simulation results show that the proposed EF-MAC outperforms the conventional MAC protocols in terms of energy efficiency and communication delay.

An Enhanced Cross-Layer MAC Design for Energy Efficiency in Wireless Sensor Networks

2013 ◽  
Vol 734-737 ◽  
pp. 3038-3041 ◽  
Author(s):  
Guo Yan Yang ◽  
Xin Guan
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Mac Protocol ◽  
Wireless Sensor ◽  
New Approach ◽  
Main Research ◽  
Mac Layers

In wireless sensor networks, the main research objective is the development of algorithms and protocols ensuring minimal energy consumption. Most proposed solutions are based on one-layer stack model approach. In this paper, we propose an energy efficient MAC protocol that applies routing and MAC layers jointly. In this new approach, the interactions between MAC and Routing layers are fully exploited to achieve energy efficiency for wireless sensor networks. In the proposed MAC protocol, we solve the forced wake-up problem in the adaptive S-MAC to reduce energy consumption of the nodes, by exploiting routing information to wake-up only nodes belonging to a routing path. Simulation results show that the proposed CL-MAC protocol significantly improves energy efficient compared to the adaptive S-MAC.

scholarly journals Energy-efficient hierarchical routing in wireless sensor networks based on Fog Computing

2020 ◽  
Author(s):  
Ademola Abidoye ◽  
Boniface Kabaso
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Data Transmission ◽  
Energy Efficient ◽  
Fog Computing ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Hierarchical Routing

Abstract Wireless sensor networks (WSNs) have been recognized as one of the most essential technologies of the 21st century. The applications of WSNs are rapidly increasing in almost every sector because they can be deployed in areas where cable and power supply are difficult to use. In the literature, different methods have been proposed to minimize energy consumption of sensor nodes so as to prolong WSNs utilization. In this article, we propose an efficient routing protocol for data transmission in WSNs; it is called Energy-Efficient Hierarchical routing protocol for wireless sensor networks based on Fog Computing (EEHFC). Fog computing is integrated into the proposed scheme due to its capability to optimize the limited power source of WSNs and its ability to scale up to the requirements of the Internet of Things applications. In addition, we propose an improved ant colony optimization (ACO) algorithm that can be used to construct optimal path for efficient data transmission for sensor nodes. The performance of the proposed scheme is evaluated in comparison with P-SEP, EDCF, and RABACO schemes. The results of the simulations show that the proposed approach can minimize sensor nodes’ energy consumption, data packet losses and extends the network lifetime

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