Sensor MAC (S- MAC), quorum-based MAC (Q- MAC), load- aware energy-efficient MAC (LE- MAC), and staggered scheduling (SS) apply duty cycling, ie., sensor nodes go to sleep periodically to save energy. Īnother way to conserve energy is to reduce the idle listening. Additionally, the X- MAC contention-based protocol does not perform well in asymmetric scenarios due to the quality of the link from the receiver to the sender which causes the hidden terminal problems and can be avoided if the communication was not receiver-initiated. And thus, the performance of X- MAC protocol is evaluated in this work when equipped with CA algorithm to address the perfor- mance degradation of wireless multihop communications with hidden terminals, and their impact on MAC proto- cols. X- MAC protocol uses data packets as preambles and suits it for sparse networks as the energy and colli- sion increase linearly with the node density. Asynchronous duty-cycled MAC protocols remove the energy overhead for synchronization and are easier to implement as they do not require local synchroniza- tion.
The other is asynchronous protocols, like X- MAC and B- MAC. One is synchronized protocols, like S- MAC and T- MAC. MAC protocols can be divided into two main categories of duty-cycled MAC protocols. Section 3 describes the Design parameters of this work, and we conclude this paper in Section 4. The paper is organized as follow: section 2 gives an overview of Taguchi method. Simulation experiments are done to optimize and analyze B- MAC protocol parameters set against energy consumption, throughput, and packet delivery ratio. This paper aimed at investigating the impact of B- MAC parameters set on the energy consumption for WSN by Optimization methodology namely (Taguchi method). It can find many works in the literature for designing and implementation of MAC protocols that aimed to conserve the energy consumption in WSN MAC layer, however, a few works are dedicated to optimizing and analyzing the impact of the parameters protocols set on the energy consumption.
authors concern about MAC protocols designed to evaluate the energy Efficiency, data delivery performance, and overhead. Authors describe the underwater acoustic environment and the challenges to the MAC protocols design in UWSN like (latency, throughput, and energy efficient). explain Underwater Wireless Sensor Networks (UWSN) has attracted attention. Duty cycling affected by other aspects as topology dependency, network density requirements and increase in end-to-end delay. Numerical results show that the proposed algorithm converges to the optimal energy allocation and data transmission.Cycles as low as 0.1%. Considering the time-varying wireless environment in WSNs, the stability of the proposed algorithm is studied by convergence analysis under stochastic perturbations. A price-based distributed algorithm is proposed to solve this NUM problem, and it can stimulate the cooperation of power control and rate adaptation among the nodes along the data relaying path. In this paper, we illustrate the importance of this issue and formulate the data sensing and transmission in WSNs as a network utility maximization (NUM) problem. However, current approaches ignore the multiple-hop nature of sensor networks, which results in the lack of modeling energy consumption in data relaying process. Wireless sensor networks (WSNs) are energy-constrained, as a result, energy allocation and data transmission on sensor nodes are always considered together.
Joint power control and rate adaptation in wireless sensor networks Author: Zongkai Yang Shengbin Liao Wenqing Cheng
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