动态无线传感器网络自组织协议的研究

目前多数移动自组织路由协议选择路径都是基于跳数最短的单径路由.从能量角度看,多数路由协议并没有充分利用网络资源.文章提出一种多径节能路由(Muhipath Saving Dynamic Source Routing,MSDR)协议.实验结果表明,该协议不仅提高了网络可靠性,而且还有效地延长了节点的工作时间和网络的整体寿命.     

移动无线传感网络簇头多跳路由协议

随着无线传感器网络在移动环境中广泛应用,移动环境下降低能耗成了传感网络研究的热点.通过研究移动环境下的各种路由协议,并结合LEACH协议自身存在的问题,提出了一种支持移动的簇头多跳的路由算法.该协议充分考虑了剩余能量、速度和距离,以及簇头选取和簇的构成方法,提出新的权值函数,从而有效地支持节点移动.仿真结果表明,该协议有效地均衡了节点能耗,提高了能量利用率,延长了网络寿命.     

基于移动Agent的LEACH协议的研究与改进

无线传感器网络中路由协议最重要的设计目标是避免节点过早死亡,延长网络生存时间。文中在原有层次式路由协议LEACH的基础上,提出了一种新的MA-LEACH（Mobile Agent LEACH）路由协议,MA—LEACH中引入了移动Agent计算模式,避免了大量的感知数据在网络中传输,由移动Agent移动到感知节点进行本地处理。仿真实验表明,MA-LEACH比原有LEACH协议在降低节点能耗,延长网络寿命等方面上有了显著提高。     

一种基于K-means的WSN移动汇聚路由算法

无线传感网络(Wireless Sensor Network,WSN)作为一种资源受限的网络,网络中节点的能耗直接影响了网络的性能。因此,均衡网络中的能耗,延长网络的生命周期,成为设计WSN路由算法的重要目标。于是,在LEACH-C协议的基础上提出了一种移动汇聚路由算法。分簇阶段由Sink节点计算最优簇首个数,通过K-means聚类将网络中的节点划分至不同的集群,选择通信成本最低的节点作为各集群的簇首。稳定传输阶段通过移动Sink进行数据采集,针对不同的延迟分别规划Sink节点的移动轨迹。MATLAB仿真结果表明,与LEACH和LEAHC-C算法相比簇首的分布更合理,结合Sink节点的移动策略能有效均衡网络能耗,延长网络的寿命。     

基于节点移动和协作转发的异构传感器网络路由协议

在异构传感器网络中,超级节点有着重要的意义.针对异构传感器网络中超级节点能量消耗过快的问题,提出了一种新的分簇路由协议（MCC）.通过在建簇阶段采用簇首移动控制策略来使簇内负载更加均衡;在簇间数据传输时引入了节点协作转发机制,提高了分簇协议的数据传输性能.通过NS2仿真验证,结果表明,MCC协议不仅降低了簇首能耗,而且使网络能耗更加均匀,延长了网络寿命.     

基于网格的无线传感器网络非均匀分簇算法

在无线传感器网络中,首先要考虑的是如何解决能耗问题.针对无线传感器网络现有算法存在的节点能耗不均匀及节点部署密集造成的数据冗余和能量浪费,提出了一种节能路由算法UECG.通过设定虚拟网格以及非均匀分簇来实现网络能量的均衡消耗.仿真结果表明,与LEACH协议及其改进协议EEUC相比,UECG算法能够有效减少冗余数据,平衡簇群间的能量消耗,达到延长网络寿命的目的.     

带有移动Sink的传感器网络回路避免跟踪协议

无线传感器网络通常被应用于收集大规模网络中的传感数据,这些收集工作由Sink完成。为了降低网络内能量空洞产生的概率,延长网络寿命,目前多采用移动Sink收集数据。文中提出了一种带有移动Sink的数据收集协议。该协议中,Sink节点能根据相邻足迹节点间坐标夹角的变化,有效回避掉那些回路上的足迹节点,而只保留非回路上的足迹节点。仿真实验结果表明,LAT协议可显著提升数据查询效率,并有效延长了网络寿命。     

基于OLSR的Ad Hoc网络功率意识路由协议

针对Ad Hoc网络能量受限的特点,提出了一种基于OLSR的功率意识路由协议.该协议的路由选择策略考虑节点发射功率和剩余寿命,同时尽量选择寿命较长的节点作为MPR节点.针对网络流量的突发性和随机性,采用基于能量流失率的节点寿命预测模型.在兼顾传统路由指标之外,主要考虑数据分组传输成功率和网络维持时间等参数.仿真结果显示,该算法有效地提高了网络吞吐量,延长了网络寿命.     

一种基于网格划分的水下传感器网络多维优化部署策略

针对水下无线传感器网络节点的部署问题,提出一种基于网格划分的多维优化部署策略。首先,将所需探测水下环境划分成相同规格的网格;然后,综合考虑网络节点数量、网络覆盖率、网络冗余度、网络生存率等指标,构建多目标优化数学模型;最后,采用遗传算法对多维优化部署策略加以实现并进行仿真分析。结果显示：所提策略能够有效地减少部署节点数量,提高网络覆盖率和生存效率,降低网络能耗。     

大规模无线传感器网络分簇路由协议改进方案

本文对大规模无线传感器网络的路由协议进行了研究,提出一种全新的高能效分簇路由协议.根据节点数目以及分布区域大小,通过数学公式推导得出最优的簇首节点数目.对簇首进行改进,均衡网络的负载,减少节点的过早死亡,延长整个网络的寿命.离基站较远的簇首利用多跳来传输数据,减少远距离簇首的能量消耗,延长网络寿命,使网络规模不受限.使用Matlab软件进行仿真实验,实验结果表明新协议能够均衡网络节点能耗,延长网络生命时间,且能适用于大规模的网络.     

Optimized mobile sink based grid coverage-aware sensor deployment and link quality based routing in wireless sensor networks

Mobile sink (MS) has been used in wireless sensor networks (WSN) to increase the network lifetime by changing the location over time. The major quality of service given by WSN is coverage energy consumption (EC) and network lifetime. There are many methods implemented for enhance the coverage hole restoration and reduce the EC. We propose a novel MSCOLER (MS based Coverage Optimization and Link-stability Estimation Routing) protocol for Optimal Coverage restoration and Link stability Estimation. An optimization algorithm is used to optimize the coverage hole and move the redundant node besides the hole. During the routing process, link quality based routing is used to discover the relay nodes with the estimation of link stability to enhance the entire network lifetime and practically make the perfect transmission distance for energy saving. Experimental results demonstrate that proposed protocol can solve the coverage restoration problem, decrease the EC and reduce the network lifetime. The performance is evaluated regarding Average of residual energy (ARE), Receiving packets ratio (RPR), Moving energy consumption (MEC), Network lifetime (NL), Percentage of coverage (%C) and Average Energy Consumption (AEC).     

无线传感器网络三维空间最佳覆盖路由协议

本文针对新兴无线传感器网络中的三维空间随机最佳覆盖NP难问题进行了研究.采用计算几何与图论着色方法建立了三维空间的随机最佳覆盖数学模型,给出了一种分布式启发算法,得到了完成最佳覆盖的低能量消耗路径.并在此基础上设计了一种可以实现无线传感器网络三维空间最佳覆盖的优化路由协议.最后进行了协议算法的性能评价以及最佳覆盖和网络生存时间的实验仿真,结果表明协议算法时间复杂度低,并具有可扩展性、有效性和鲁棒性.     

Power Management Based Grid Routing Protocol for IEEE 802.11 Based MANET

MANET(Mobile Ad Hoc Network)is a collection of wireless mobile nodes forming a temporary communica-tion network without the aid of any established infrastructure or centralized administration.The lifetime of a MANETdepends on the battery resources of the mobile nodes.So energy consumption may one of important design criterions forMANET.With changing the idle model to sleep model in the grid environment,this paper proposes a new energy-awarerouting protocol.Performance simulation results show that the proposed strategy can dynamic balance the traffic load in-side the whole network,extend the lifetime of a MANET,and without decreasing the throughput ratio.     

A new algorithm for cluster head selection in LEACH protocol for wireless sensor networks

In wireless sensor network, a large number of sensor nodes are distributed to cover a certain area. Sensor node is little in size with restricted processing power, memory, and limited battery life. Because of restricted battery power, wireless sensor network needs to broaden the system lifetime by reducing the energy consumption. A clustering‐based protocols adapt the use of energy by giving a balance to all nodes to become a cluster head. In this paper, we concentrate on a recent hierarchical routing protocols, which are depending on LEACH protocol to enhance its performance and increase the lifetime of wireless sensor network. So our enhanced protocol called Node Ranked–LEACH is proposed. Our proposed protocol improves the total network lifetime based on node rank algorithm. Node rank algorithm depends on both path cost and number of links between nodes to select the cluster head of each cluster. This enhancement reflects the real weight of specific node to success and can be represented as a cluster head. The proposed algorithm overcomes the random process selection, which leads to unexpected fail for some cluster heads in other LEACH versions, and it gives a good performance in the network lifetime and energy consumption comparing with previous version of LEACH protocols.     

Performance evaluation of sensor deployment using optimization techniques and scheduling approach for K-coverage in WSNs

In the wireless sensor networks, sensor deployment and coverage are the vital parameter that impacts the network lifetime. Network lifetime can be increased by optimal placement of sensor nodes and optimizing the coverage with the scheduling approach. For sensor deployment, heuristic algorithm is proposed which automatically adjusts the sensing range with overlapping sensing area without affecting the high degree of coverage. In order to demonstrate the network lifetime, we propose a new heuristic algorithm for scheduling which increases the network lifetime in the wireless sensor network. Further, the proposed heuristic algorithm is compared with the existing algorithms such as ant colony optimization, artificial bee colony algorithm and particle swarm optimization. The result reveals that the proposed heuristic algorithm with adjustable sensing range for sensor deployment and scheduling algorithm significantly increases the network lifetime.     

A stable energy efficient clustering protocol for wireless sensor networks

Sensor networks comprise of sensor nodes with limited battery power that are deployed at different geographical locations to monitor physical events. Information gathering is a typical but an important operation in many applications of wireless sensor networks (WSNs). It is necessary to operate the sensor network for longer period of time in an energy efficient manner for gathering information. One of the popular WSN protocol, named low energy adaptive clustering hierarchy (LEACH) and its variants, aim to prolong the network lifetime using energy efficient clustering approach. These protocols increase the network lifetime at the expense of reduced stability period (the time span before the first node dies). The reduction in stability period is because of the high energy variance of nodes. Stability period is an essential aspect to preserve coverage properties of the network. Higher is the stability period, more reliable is the network. Higher energy variance of nodes leads to load unbalancing among nodes and therefore lowers the stability period. Hence, it is perpetually attractive to design clustering algorithms that provides higher stability, lower energy variance and are energy efficient. In this paper to overcome the shortcomings of existing clustering protocols, a protocol named stable energy efficient clustering protocol is proposed. It balances the load among nodes using energy-aware heuristics and hence ensures higher stability period. The results demonstrate that the proposed protocol significantly outperforms LEACH and its variants in terms of energy variance and stability period.     

An Energy Efficient Barrier Coverage Algorithm for Wireless Sensor Networks

Intrusion detection is one of the most important applications of wireless sensor networks. When mobile objects are entering into the boundary of a sensor field or are moving cross the sensor field, they should be detected by the scattered sensor nodes before they pierce through the field of sensor (barrier coverage). In this paper, we propose an energy efficient scheduling method based on learning automata, in which each node is equipped with a learning automaton, which helps the node to select best node to guarantee barrier coverage, at any given time. To apply our method, we used coverage graph of deployed networks and learning automata of each node operates based on nodes that located in adjacency of current node. Our algorithm tries to select minimum number of required nodes to monitor barriers in deployed network. To investigate the efficiency of the proposed barrier coverage algorithm several computer simulation experiments are conducted. Numerical results show the superiority of the proposed method over the existing methods in term of the network lifetime and our proposed algorithm can operate very close to optimal method.     

A Low Duty Cycle MAC Protocol for Directional Wireless Sensor Networks

Directional communication in wireless sensor networks minimizes interference and thereby increases reliability and throughput of the network. Hence, directional wireless sensor networks (DWSNs) are fastly attracting the interests of researchers and industry experts around the globe. However, in DWSNs the conventional medium access control protocols face some new challenges including the synchronization among the nodes, directional hidden terminal and deafness problems, etc. For taking the advantages of spatial reusability and increased coverage from directional communications, a low duty cycle directional Medium Access control protocol for mobility based DWSNs, termed as DCD-MAC, is developed in this paper. To reduce energy consumption due to idle listening, duty cycling is extensively used in WSNs. In DCD-MAC, each pair of parent and child sensor nodes performs synchronization with each other before data communication. The nodes in the network schedule their time of data transmissions in such a way that the number of collisions occurred during transmissions from multiple nodes is minimized. The sensor nodes are kept active only when the nodes need to communicate with each other. The DCD-MAC exploits localized information of mobile nodes in a distributed manner and thus it gives weighted fair access of transmission slots to the nodes. As a final point, we have studied the performance of our proposed protocol through extensive simulations in NS-3 and the results show that the DCD-MAC gives better reliability, throughput, end-to-end delay, network lifetime and overhead comparing to the related directional MAC protocols.     

An improved cluster formation process in wireless sensor network to decrease energy consumption

Wireless sensor network has special features and many applications, which have attracted attention of many scientists. High energy consumption of these networks, as a drawback, can be reduced by a hierarchical routing algorithm. The proposed algorithm is based on the Low Energy Adaptive Clustering Hierarchy (LEACH) and Quadrant Cluster based LEACH (Q-LEACH) protocols. To reduce energy consumption and provide a more appropriate coverage, the network was divided into several regions and clusters were formed within each region. In selecting the cluster head (CH) in each round, the amount of residual energy and the distance from the center of each node were calculated by the base station (including the location and residual energy of each node) for all living nodes in each region. In this regard, the node with the largest value had the highest priority to be selected as the CH in each network region. The base station calculates the CH due to the lack of energy constraints and is also responsible for informing it throughout the network, which reduces the load consumption and tasks of nodes in the network. The information transfer steps in this protocol are similar to the LEACH protocol stages. To better evaluate the results, the proposed method was implemented with LEACH LEACH-SWDN, and Q-LEACH protocols using MATLAB software. The results showed better performance of the proposed method in network lifetime, first node death time, and the last node death time.

     

A Novel Heterogeneous Clustering Protocol for Lifetime Maximization of Wireless Sensor Network

The network lifetime of Wireless Sensor Network (WSN) is one of the most challenging issues for any network protocol. The nodes in the network are densely deployed and are provided with limited power supply. The routing strategy is treated as an effective solution to improve the lifetime of the network. The cluster based routing techniques are used in the WSN to enhance the network lifespan and to minimize the energy consumption of the network. In this paper, an energy efficient heterogeneous clustering protocol for the enhancement of the network lifetime is proposed. The proposed protocol uses the sensor energy for the clustering process in a well-organized manner to maximize the lifetime of network. The MATLAB simulator is used for implementing the clustering model of proposed protocol and for measuring the effectiveness of the proposed technique the comparison is performed with the various existing approaches such as Stability Election Protocol, Distributed Energy Efficient Clustering and Adaptive Threshold Energy Efficient cross layer based Routing.