无线传感器网络S-MAC协议研究

传感器节点能量受限,节能是传感器网络中媒体访问控制（MAC）协议设计的首要问题。采用周期性睡眠机制、自适应侦听机制、串音避免机制和消息传递机制可使得传感器媒体访问控制（S-MAC）协议在网络能耗和时延方面得到改进。对S-MAC协议的改进主要有两种方式：动态调整、区别控制包与数据包的发送条件进行发送。对无线传感器网络,要想设计出一种满足各方面要求的MAC协议是不现实的,可针对不同应用的要求,灵活采用不同的方式,设计出相应的协议。     

基于GAF的无线传感器网络MAC协议

节能是无线传感器网络介质访问控制(MAC)协议的首要目标,综合近年来MAC协议的研究成果,针对S-MAC、T-MAC等几种典型协议进行分析,研究出将拓扑结构控制机制引入MAC协议,可进一步降低能耗。给出了一种基于GAF拓扑控制思想的MAC协议、GS-MAC协议。GS-MAC协议可以降低处于空闲侦听状态的节点数量,是一种高效节能的协议。仿真表明,引入拓扑控制后可以达到进一步节约能耗的目的。     

一种高效节能的无线传感器网络 MAC 协议

针对无线传感器网络 MAC 协议的作用与要求,给出一种基于 CDMA 的 MAC 协议改进方案.根据网络负载变化采用周期性的侦听/睡眠机制,使大多数节点处于睡眠状态,节省能耗;同时结合 CDMA 技术给节点分配网内唯一的具有正交性的高速伪随机码(PN)来调制数据信号,使之在时域和频域重叠,实现数据的大规模实时传送.仿真结果表明,协议在保证系统低延时和高吞吐量的同时,能明显减少能量消耗.     

一种无线传感网络节能MAC协议

在无线传感网络中,传感节点是能量受限的,因此能耗在这种网络显得十分重要,关系到整个网络的生命周期与性能.而无线传感网络的MAC协议对节点的节能有着重要的作用.本文在已有研究的基础上加以改进形成一种更有效的感知流量信息进行节能的MAC协议.该协议同S-MAC协议一样也是采用睡眠的机制,但不同于S-MAC的是该协议中监听与...     

无线传感器网络S-MAC协议分析

S-MAc协议是weiYe等人在IEEE802．儿协议的基础上,针对WSNs网络能量有效性而提出的一种专用于WSNs网络的节能协议。S-MAC协议主要使用三种新技术来减少能耗：节点周期性的休眠,邻节点形成虚拟簇在休眠制度上自同步,以及利用消息传递机制来发送长包,减少竞争反应时间。本文将对无线传感网络（WSNs）的节点能耗问题进行讨论,并对无线传感器网络MAc层节能协议进行分析。     

基于无线传感器网络S—MAC协议的研究

无线传感器网络是由大量的微小节点通过无线通信技术组成的自组织网络。本文以无线传感器网络MAC层协议研究为背景，根据无线传感器网络MAC层协议的设计要求。分析了S-MAC协议的4个主要机制，并使用TinyOS操作系统中Avrora仿真平台仿真实现S—MAC协议，仿真研究表明了S-MAC协议性能的优越性。     

无线传感器网络休眠MAC协议分析

无线传感器网络中每个传感器节点一般采用电池供电,能量有限,需要有效的可休眠的MAC协议来保持能量的高效利用,因此休眠MAC协议成为研究的重要方向之一。目前已经有很多种为无线传感器网络设计的MAC协议,其中一个重要的分支就是基于局部同步周期休眠／监听排程的S-MAC协议及其各种改进协议。论文首先介绍了无线传感器网络中与MAC协议设计相关的一些特性。其次对S-MAC协议的基本原理以及各种改进协议的原理进行了说明,并分析了它们各自的优缺点。     

一种新颖的无线传感器网络的MAC协议

通过对MAC协议运行原理、具有的优缺点、目前所存在的问题以及网络中信道接入机制和能效问题进行分析的基础上,给出一种侦听/睡眠和CDMA相结合的混合MAC协议,此协议采用周期性侦听/睡眠机制和CDMA技术来保证数据的流畅传输,从而实现能量的有效利用。最后,利用仿真软件NS2证明新方法的优越性和高效性。     

无线传感器网络MAC协议的研究与改进

研究和分析了当前无线传感器网络(WSN)中介质访问控制(MAC)协议、IEEE802.11和IEEE802.15.4 MAC协议的各种性能,并结合传感网络介质访问协议(S-MAC)中低占空比休眠机制对IEEE802.15.4介质访问协议进行改进.用NS-2仿真软件对各种协议进行仿真,仿真结果表明改进后的MAC协议可大...     

基于SMAC的无线传感器网络MAC协议的分析与优化

首先对MAC协议进行了相关介绍。然后重点介绍了一种基于竞争的无线传感器网络MAC层协议S-MAC协议。其核心是提出了一种新的无线传感器网络的MAC协议设计方案。基于动态调整占空比的思想,提出了ATC-SMAC协议。该协议在S-MAC协议的基础上改进了固定占空比的劣势,根据每个节点上的数据包的平均延迟调整占空比。通过动态地调整每个节点的占空比,使不同流量的节点拥有不同的工作时间,协议根据不同节点的流量情况自适应地对其占空比进行调整。经过仿真试验,得到ATC-MAC在网络端对端延迟、能量消耗以及吞吐量方面较S-MAC协议都有比较明显的提高。     

Analysis and optimization of duty-cycle in preamble-based random access networks

Duty-cycling has been proposed as an effective mechanism for reducing the energy consumption in wireless sensor networks (WSNs). Asynchronous duty-cycle protocols where the receiver wakes up periodically to check whether there is a transmission and the sender transmits preambles to check if the receiver is awake are widely used in WSNs due to the elimination of complex control mechanisms for topology discovery and synchronization. However, the intrinsic simplicity of the asynchronous mechanism has the drawback of smaller energy saving potential that requires the optimization of the duty cycle parameters. In this paper, we propose a novel method for the optimization of the duty-cycle parameters in preamble-based random access networks based on the accurate modeling of delay, reliability and energy consumption as a function of listen time, sleep time, traffic rate and medium access control (MAC) protocol parameters. The challenges for modeling are the random access MAC and the sleep policy of the receivers, which make it impossible to determine the exact time of data packet transmissions, and thus difficult to investigate the performance indicators given by the delay, reliability and energy consumption to successfully receive packets. An analysis of these indicators is developed as a function of the relevant parameters of the network and it is used in the minimization of the energy consumption subject to delay and reliability requirements. The optimization provides significant reduction of the energy consumption compared to the previously proposed protocols in the literature.     

无线传感器网络能量高效混合MAC算法

针对无线传感器网络MAC协议中存在的能耗问题,提出了能量高效的无线传感器网络混合MAC(EEH-MAC)算法,采用基于TDMA机制的时槽系数动态调整簇内节点的时槽大小来降低数据的传输时延;同时,对部分不需要数据传输的节点不分配时槽来减少能耗;按簇内节点剩余能量系数形成时槽分配顺序来减少状态转换的能耗;在簇头之间采用CSMA/CA机制的随机分配策略进行通信.仿真结果表明,EEH-MAC协议能有效减少能耗并延长网络生命周期.     

A prediction-based asynchronous MAC protocol for heavy traffic load in wireless sensor networks

Radio transceiver often consumes most of energy in a sensor node. To achieve low power consumption, every node periodically schedules its radio transceiver into sleep or active state, which is usually called duty cycle mechanism in MAC protocol. In this paper, we design a novel Prediction-Based Asynchronous MAC protocol (PBA-MAC) for heavy traffic load in wireless sensor networks. PBA-MAC applies an efficient wakeup mechanism to save the energy of a sensor node as much as possible. It reduces communication cost by enabling a sender to predict the intended receiver’s wakeup time, without introducing unnecessary idle listening or overhearing cost. In addition, it introduces an exponential advance mechanism to handle the prediction error caused by clock drift and hardware platform latency. More importantly, its backcast-based retransmission characteristic can efficiently resolve severe wireless collisions caused by concurrent traffic flows. The PBA-MAC is implemented in Contiki operating system. We compare PBA-MAC to some existing energy-efficient MAC protocols. The experimental results show that PBA-MAC significantly improves network energy efficiency and reduces packet delivery latency even under heavy traffic load.     

SW-MAC: A Low-Latency MAC Protocol with Adaptive Sleeping for Wireless Sensor Networks

A low duty-cycle operation medium access control (MAC) protocol is very important to conserve energy for resource-constrained wireless sensor networks. Traditional sleep-wake scheduling mechanisms of MAC protocols either require periodic synchronization beacons or bring high end-to-end delivery latency due to the lack of any synchronization. In this paper, we propose a low latency MAC protocol by adjusting the sleep window (SW-MAC) considering traffic patterns. Nodes in SW-MAC transmit a sequence of scout packets to wake up the next hop and estimate the traffic arrival time from upstream nodes to sleep adaptively. For the large variance traffic, we adjust the sleep window using additive increase/multiplicative decrease mechanism. And then we design a scout-based scheduling mechanism with the above algorithms to shorten the delivery latency. Simulation results indicate that SW-MAC could significantly reduce the end-to-end packet delivery latency without sacrificing energy efficiency.     

A multichannel code distribution protocol for remote reprogramming in WSNs

In view of the problem of low efficiency and high energy consumption in remote reprogramming in wireless sensor networks (WSNs), this paper presents a code distribution protocol based on multi-channel diffusion mechanism (MDM). In MDM, the network nodes classify the 16 channels in 2.4 GHz band by energy scanning, and then it selects an optimal channel to forward the code images by a specific channel selection mechanism. MDM achieves a number of adjacent nodes in a network transmit code images in different channels simultaneously. Furthermore, from the perspective of energy saving, MDM also introduces a sleep strategy for forwarding nodes. Simulation results demonstrate that MDM improves the efficiency and reduces the energy consumption of remote reprogramming in WSNs compared with other code distribution protocols, and moreover, it settles the problem of hidden terminal; with the increasing in the number of nodes and node spacing, optimization is obvious.     

Energy efficient TDMA-based MAC protocol associated with GAF for wireless sensor networks

The design of media access control (MAC) protocol for wireless sensor networks (WSNs) with the idea of cross layer attracts more and more attention. People can improve the MAC protocol by obtaining certain information regarding the network layer and physical layer. This article synthesizes and optimizes certain cross-layer protocols which have existed. On the basis of the routing, topology information in the network layer, and transmission power information in the physical layer, the time slot assignment algorithm has been improved in the MAC layer. By using geographical adaptive fidelity algorithm (GAF) to divide the grids, controlling of transmission power and scheduling the work/sleep duty cycle for sensor nodes, a new MAC protocol has been proposed to decrease energy consumption and enlarge the lifetime of WSNs. Simulation results show that the MAC protocol functions well.     

分簇无线传感器网络动态时隙分配MAC协议

为降低大规模无线传感器网络的平均能耗,提出了一种基于动态分配的调度型无线传感器网络MAC协议（SDC-MAC）。该协议簇间使用FDMA方式分配无线信道,簇内通过TDMA方式给各个节点分配可变长的时隙。随着簇结构的变化,簇头通过时隙分配通知,对簇内节点的时隙分配进行动态调整,簇成员节点则根据控制信息进行休眠和唤醒。仿真结果显示,该算法有效地降低了网络的平均能耗,当网络流量高时还可降低平均数据包时延。     

Extending the Lifetime of Wireless Sensor Networks Through Adaptive Sleep

In recent years, the use of wireless sensor networks for industrial applications has rapidly increased. However, energy consumption still remains one of the main limitations of this technology. As communication typically accounts for the major power consumption, the activity of the transceiver should be minimized, in order to prolong the network lifetime. To this end, this paper proposes an Adaptive Staggered sLEEp Protocol (ASLEEP) for efficient power management in wireless sensor networks targeted to periodic data acquisition. This protocol dynamically adjusts the sleep schedules of nodes to match the network demands, even in time-varying operating conditions. In addition, it does not require any a priori knowledge of the network topology or traffic pattern. ASLEEP has been extensively studied with simulation. The results obtained show that, under stationary conditions, the protocol effectively reduces the energy consumption of sensor nodes (by dynamically adjusting their duty-cycle to current needs) thus increasing significantly the network lifetime. With respect to similar nonadaptive solutions, it also reduces the average message latency and may increase the delivery ratio. Under time-varying conditions, the protocol is able to adapt the duty-cycle of single nodes to the new operating conditions, while keeping a consistent sleep schedule among sensor nodes. The results presented here are also confirmed by an experimental evaluation in a real testbed.      

On combining network coding with duty-cycling in flood-based wireless sensor networks

Network coding and duty-cycling are two major techniques for saving energy in wireless sensor networks. To the best of our knowledge, the idea to combine these two techniques for even more aggressive energy savings, has not been explored. This is not unusual, since these two techniques achieve energy efficiency through conflicting means, e.g., network coding saves energy by exploiting overhearing (i.e., nodes are awake), whereas duty-cycling saves energy by reducing idle listening (i.e., nodes sleep). In this article, we thoroughly investigate if network coding and duty cycling can be used together for more aggressive energy savings in flood-based wireless sensor networks.Our main idea is to exploit the redundancy sometimes present in flooding applications that use network coding, and put a node to sleep (i.e., duty cycle) when a redundant transmission takes place (i.e., the node has already received and successfully decoded a sequence of network-coded packets). We propose a scheme, called DutyCode, in which a multiple access control (MAC) protocol implements packet streaming and allows the network coding-aware application to decide when a node can sleep. We also present an algorithm for deciding the optimal coding scheme for a node to further reduce energy consumption by minimizing redundant packet transmissions. Finally, we propose an adaptive switching technique between DutyCode and an existing duty-cycling MAC protocol. We investigate our proposed solutions analytically and implement them on mote hardware. Our performance evaluation results, obtained from a 42-node indoor testbed, show that our scheme saves 30–46% more energy than network coding-based solutions.