Efficient MAC Adaptive Protocol on Wireless Sensor Network

Wireless Sensor Networks (WSNs) have attracted a lot of attention from the research community and industry in recent years. WSNs maintenance associated with battery replacement can increase system operating costs, especially for wireless sensor networks located in hard-to-reach and dangerous places. In this study, an adaptive Medium Access Control (MAC) is proposed that can regulate the period of data acquisition and transmission. In contrast to conventional MAC, the applied adaptive MAC regulates the data transmission period based on the estimated energy use in the previous cycle. This study focuses on comparing energy efficiency between conventional and adaptive MAC. Energy usage information is retrieved directly on the sensor node. In star topology, the proposed MAC can increase the lifetime of the sensor network up to 6.67% in a star topology. In the hierarchical topology, the proposed MAC can increase network energy efficiency up to 9.17%. The resulting increase in network throughput is 17.73% for the Star network and 33.81% for the Hierarchy network. The star topology without implementing adaptive MAC has the lowest throughput of 0.188 kb/s. The highest throughput is achieved by a hierarchical topology that applies MAC with a throughput of 2.157 kb/s

Energy Optimization Efficiency in Wireless Sensor Networks for Forest Fire Detection:: An Innovative Sleep Technique

Wireless Sensor Networks (WSNs) have the potential to play a significant role in forest fire detection and prevention. However, limited resources, such as short battery life pose challenges for the energy efficiency and longevity of WSN-based IoT networks. This paper focused on the energy efficiency aspect and proposed the ECP-LEACH protocol to optimize energy consumption in forest fire detection cases. The proposed protocol consists of two main components: a threshold monitoring module and a sleep scheduling module. The threshold monitoring module continuously monitors energy consumption and triggers sleep mode for nodes surpassing the predetermined threshold. The ECP-LEACH protocol offers a promising solution for improving energy efficiency in WSN-based IoT networks for forest fire detection. By optimizing sleep scheduling and duty cycles, the ECP-LEACH protocol enables significant energy savings and extended network lifetim

Efficient MAC Adaptive Protocol on Wireless Sensor Network

Wireless Sensor Networks (WSNs) have attracted a lot of attention from the research community and industry in recent years. WSNs maintenance associated with battery replacement can increase system operating costs, especially for wireless sensor networks located in hard-to-reach and dangerous places. In this study, an adaptive Medium Access Control (MAC) is proposed that can regulate the period of data acquisition and transmission. In contrast to conventional MAC, the applied adaptive MAC regulates the data transmission period based on the estimated energy use in the previous cycle. This study focuses on comparing energy efficiency between conventional and adaptive MAC. Energy usage information is retrieved directly on the sensor node. In star topology, the proposed MAC can increase the lifetime of the sensor network up to 6.67% in a star topology. In the hierarchical topology, the proposed MAC can increase network energy efficiency up to 9.17%. The resulting increase in network throughput is 17.73% for the Star network and 33.81% for the Hierarchy network. The star topology without implementing adaptive MAC has the lowest throughput of 0.188 kb/s. The highest throughput is achieved by a hierarchical topology that applies MAC with a throughput of 2.157 kb/s

EAMP-AIDC - Energy-aware mac protocol with adaptive individual duty cycle for EH-WSN

Network lifetime is the main issue of wireless sensor networks and IoT solutions in real world application. Sensors cannot have an infinite lifetime without battery recharge or replacement. Energy harvesting, from environmental energy sources, is a promising technology to provide sustainable powering for WSN. However, based on harvesting opportunities, nodes power may alternate between two states: a state with sufficient residual power and another with shortage in power. Hence, it is paramount to develop robust networking platforms that are energy-harvesting-aware and that support low-energy consumption and data integrity in a noisy, variable environment. In this paper, we present the EAMP-AIDC protocol, an energy aware MAC protocol for EH-WSN based on individual duty cycle optimization. It takes into consideration nodes' residual energy and application and data requirements in order to define individual dynamic duty cycles (Active and sleep periods) that allow to create a balanced load in term of cooperative data relaying tasks and in terms of energy consumption between the different participating nodes so as to ensure continuous network operation. The proposed protocol was evaluated using the network simulator OMNET++ and was compared to the standard IEEE 802.15.4 MAC. The results showed that EAMP-AIDC protocol outperformed the IEEE 802.15.4 standard in term of better energy consumption, increased survivability in energy savings and in guaranteeing continuous operations.ACKNOWLEDGMENT This publication was made possible by the NPRP grant # [6 -203 -2 - 086] from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.Scopu