面向带状无线传感网低延迟可靠数据收集算法

带状无线传感网为长距离带状分布，现有的数据收集算法无法很好解决其数据收集延迟较大的问题。提出了一种主动定位移动Sink的数据收集算法DCFAN（Data Collection based on Forwarding of Agent Nodes），DCFAN构建移动Sink的同步代理节点以及存储同步代理节点的线节点序列，通过获取同步代理节点转发感知数据到Sink汇聚点。仿真结果表明，DCFAN算法能有效降低网络节点能耗以及数据收集延迟，同时提升数据收集率，适用于对数据收集延迟具有一定要求的带状无线传感网应用场景。     

一种新的支持移动Sink的多媒体传感器网络路由协议

提出了一种新的支持移动Sink的多媒体传感器网络路由协议,该协议利用锚节点作为转发节点与移动Sink进行通信,避免多媒体传感器节点与Sink直接进行远距离通信,在多媒体传感器节点中采用改进的基于地理信息的路由协议建立路由路径.仿真实验表明:该协议不仅能支持移动Sink,而且能够有效降低节点能耗,延长网络寿命,提高数据传...     

基于单向多汇聚节点的WSN分层路由协议

针对分层无线传感器网络的簇首节点容易成为网络瓶颈制约网络性能的不足,提出一种低能耗的路由协议。采用多汇聚（Sink）节点模式来构建网络,利用RSSI（接收信号强度指示）测出各传感器节点与各Sink节点之间的距离,并依据距离的远近为Sink节点划分作用域。通过传感器节点单向与所属Sink节点通信来降低簇首节点的负担。仿真实验结果表明提出的路由协议能有效克服簇首节点网络瓶颈问题,从而降低网络能耗,提高网络生存时间,对于无线传感器网络应用于大范围数据收集的网络具有重要的价值。     

WSN中基于Stateless Weight的移动代理路由设计

为了使移动代理的路由不再过分依赖于网络结构,提出了一种应用在无线传感器网络（WSN）中的移动代理的路由设计（SWR-MA）。在SWR-MA中,引入了一个与节点位置有关的参数Weight,通过比较Weight值,移动代理可以自主的确定自己的路径。SWR-MA可以应用在拓扑改变的网络中,比如带有移动Sink节点的网络中。最后,对该路由算法进行了仿真评价。     

物联网环境下移动节点可信接入认证协议

无线传感器网络（WSN）中的移动节点缺乏可信性验证,提出一种物联网（IoT）环境下移动节点可信接入认证协议。传感器网络中移动汇聚节点（Sink节点）同传感器节点在进行认证时,传感器节点和移动节点之间完成相互身份验证和密钥协商。传感器节点同时完成对移动节点的平台可信性验证。认证机制基于可信计算技术,给出了接入认证的具体步骤,整个过程中无需基站的参与。在认证时利用移动节点的预存的假名和对应公私钥实现移动节点的匿名性,并在CK（Canetti-Krawczyk）模型下给出了安全证明。在计算开销方面与同类移动节点认证接入方案相比,该协议快速认证的特点更适合物联网环境。     

容忍延迟传感器网络中基于分簇的移动Sink动态路由算法

在无线传感器网络中使用移动Sink能有效延长网络寿命。提出一种在容忍延迟传感器网络中基于分簇的移动Sink动态路由算法MSDR（Mobile Sink Dynamic Routing）,移动Sink根据簇头位置构建遍历所有簇头的Hamilton回路,并沿着该路径收集数据。进一步提出基于标记的数据缓存机制,有效解决算法中每一轮之间的数据存储问题。仿真实验结果表明,MSDR算法使网络具有较长的生命周期,能有效平衡网络能耗。     

WSN数据收集中移动Sink的路径规划和簇头节点选取问题的综合研究

针对较大规模的无线传感器网络通过多跳传输进行数据收集而引起的能量空洞问题,提出了一种基于移动Sink的簇头节点数据收集算法(MSRDG),该算法基于图论原理,在满足时延性的条件下,综合考虑了普通节点到簇头节点路由和移动Sink遍历路经选取的问题,构建了一条通过的簇头节点尽可能多的移动轨迹。通过NS-2仿真软件对算法的性能进行评估,结果显示出该算法能减少数据的多跳传输,降低无线传感器网络节点的能量消耗,延长网络寿命。     

稀疏水下传感网中AUV数据移动收集技术研究

由于水下传感器节点的水声通信距离有限、价格昂贵,水下传感器网络中一般采用稀疏方式部署,因此很难保证整体网络的连通性及数据采集效率。自主水下航行器AUV（Autonomous Underwater Vehicle）作为天然的移动数据采集平台,可以弥补固定Sink节点数据采集方式的缺陷。提出了一种基于移动AUV的水下传感网移动数据收集机制。以AUV覆盖区域内的传感器节点作为临时Sink节点,其他传感器节点以临时Sink节点为根节点,采用最小生成树MST（Minimum Spanning Tree）方法将传感数据传输到这些临时Sink节点,然后通过临时Sink节点将汇聚数据传输给AUV。随着AUV的自主移动轨迹,水下传感网的传感数据都能简单高效地被收集起来。仿真结果验证了该方法在保证网络能耗的前提下提高了数据采集效率。     

移动传感器网络中能量均衡分簇及移动策略

无线传感器网络各节点能量有限,如果数据收集节点（Sink）能够移动,则可以大大节约节点能量,从而延长网络的寿命。首先提出一种能量均衡的分簇算法,根据节点地理信息进行分簇,使得节点耗费总能量尽可能小的同时,使各簇能量消耗基本平衡;在此基础上提出一种Sink 移动策略,Sink 优先选择能量较充足的簇收集信息。仿真结果表明,与传统的随机移动算法相比,提出的算法能够显著平衡各族之间的能量消耗,并减少总的网络能量消耗,从而提高网络的寿命。     

基于能量感知的无线传感器网络Sink节点移动方案

节点能量直接影响无线传感器网络的寿命。为此,从保存节点能量角度入手,结合最大容量路径路由协议,提出基于能量感知的Sink节点移动方案EASM-INL,以最大化提高网络寿命。在EASM-INL方案中,传感节点依据电量水平调整传输范围,当电量下降时缩短传输范围,从而保存电量。 Sink节点收集传感节点的电量数据,计算最大容量路径。只要有一条路径容量值小于门限值, Sink节点就计算正东、南、北、西4个方向上的最大容量值,并沿最小值所在方向移动。仿真结果表明,与同类节点移动方案相比,EASM-INL方案可有效延长网络寿命。     

面向动态传感器网络的数据汇集算法

传感器网络中移动终端广泛存在,针对无线传感器网络移动Sink场景,提出一种移动Sink代理机制和网络质量评估策略.根据网络质量决定Sink的移动路径,并在此基础上,从能量均衡的角度提出一种基于角度的数据汇集算法ADC-MS(Angle-based Data Collection algorithm for Mobile...     

无线传感器网络数据收集算法研究

对于无线传感器网络而言,可靠的数据收集是推进其大规模应用的关键,本文引入了移动传感器网络解决静态传感网络中的通信中断问题.针对移动传感器网络的数据收集,提出了数据收集的分类,分析了移动节点不同移动模式对网络数据收集的影响,比较了移动节点受控移动路径对比固定移动模式的优势,最后介绍了典型的移动节点受控移动的路径规划算法.     

An efficient trajectory design for mobile sink in a wireless sensor network

Mobile sink trajectory plays a pivotal role for network coverage, data collection and data dissemination in wireless sensor networks. Considering this, we propose a novel approach for mobile sink trajectory in wireless sensor networks. Our proposed approach is based on Hilbert Space Filling Curve, however, the proposed approach is different from the previous work in a sense that the curve order changes according to node density. In this paper, we investigate the mobile sink trajectory based on Hilbert Curve Order which depends upon the size of the network. Second, we calculate the Hilbert Curve Order based on node density to re-dimension the mobile sink trajectory. Finally, we perform extensive simulations to evaluate the effectiveness of proposed approach in terms of network coverage and scalability. Simulation results confirm that our proposed approach outperforms with size based Hilbert Curve in terms of network coverage, packet delivery ratio and average energy consumption.     

WSN数据收集中移动sink的路径规划和蔟头节点选取问题的综合研究

针对较大规模的无线传感器网络通过多跳传输进行数据收集而引起的能量空洞问题,本文提出了一种基于移动sink的簇头节点数据收集算法（MSRDG）,该算法基于图论原理,在满足时延性的条件下,综合考虑了普通节点到簇头节点路由和移动sink遍历路经选取的问题,构建了一条通过的簇头节点尽可能多的移动轨迹。通过NS-2仿真软件对算法的性能进行评估,结果显示出该算法能减少数据的多跳传输,降低无线传感器网络节点的能量消耗,延长网络寿命。     

用于移动汇聚节点的自适应数据采集策略

移动汇聚节点用于无线传感网络信息采集,可以提高网络能效性,延长网络生命期。研究了四轴飞行器携带 移动汇聚节点,该节点可采集地面无线传感网数据。通过分析汇聚节点空中移动特性,探讨了低功耗无线数据采集 时,移动轨迹、速率和高度与移动汇聚节点能够发送的数据量的之间的理论约束条件。在满足约束条件前提下,提出 基于数据量局部最优化策略,用以控制移动汇聚节点移动路径。在仿真环境中,详尽分析了这种数据采集策略下逗留 时间与移动轨迹、速度和高度等之间的关系,为这类应用莫定了理论基础。     

随机分布的无线传感器网络中移动sink的路径规划

针对大量节点正态分布的无线传感器网络,为了提高网络的寿命,提出了一种移动sink的高效路径规划方案。首先由节点的分布规律将网络划分为多个子区域,然后在此基础上以最大化网络寿命为目标找到sink的最佳转折点,最后得到一条最优路径。通过NS-2中大量的仿真实验结果表明,与已有的类似方案相比,该方案可以有效均衡网络能耗,延长网络的生命周期,同时取得较好的网络性能。     

移动Sink的传感器网络路径优化策略

在无线传感器网络（WSNs）中引入移动 Sink 可以避免网络拥塞和能量空洞并降低网络能耗,但由于移动速度的限制导致时延较大。针对这一问题,提出了时延约束下的移动 Sink 路径优化策略,根据时延和网络能耗之间的关系设计了可调节的节点权重,通过模拟退火遗传算法得到最优节点权重,并依据此权重通过迭代得到汇聚节点和最佳移动路径。仿真结果表明：该策略能保证在满足时延约束的前提下降低网络能耗,且收敛速度快。     

A honeycomb structure based data gathering scheme with a mobile sink for wireless sensor networks

With the widespread use of wireless sensor networks, more and more applications require energy efficient and low packet loss rate data collection methods. Recently, the concept of ‘mobile’ is introduced in various mechanisms to meet the needs of this kind. In this paper, a honeycomb structure based data gathering scheme, HSDG, is proposed for wireless sensor networks with a mobile sink. By partitioning the network into a honeycomb structure and giving each partition a direction value, every sensor node can obtain the latest location of the mobile sink dynamically with a small amount of broadcasting overhead. HSDG uncouples the moving strategy of mobile sink from the data forwarding mechanism, and three subscheme HSDG_RM, HSDG_DGM, and HSDG_EGM are proposed. Our schemes are investigated from average energy consumption, maintenance cost, packet loss rate and the number of packets collected. Compared with BTDG and ALURP, HSDG_DGM is the most energy efficient with a low packet loss rate.     

WSN in cyber physical systems: Enhanced energy management routing approach using software agents

Recently, the cyber physical system has emerged as a promising direction to enrich the interactions between physical and virtual worlds. Meanwhile, a lot of research is dedicated to wireless sensor networks as an integral part of cyber physical systems. A wireless sensor network (WSN) is a wireless network consisting of spatially distributed autonomous devices that use sensors to monitor physical or environmental conditions. These autonomous devices, or nodes, combine with routers and a gateway to create a typical WSN system. Shrinking size and increasing deployment density of wireless sensor nodes implies the smaller equipped battery size. This means emerging wireless sensor nodes must compete for efficient energy utilization to increase the WSN lifetime. The network lifetime is defined as the time duration until the first sensor node in a network fails due to battery depletion. One solution for enhancing the lifetime of WSN is to utilize mobile agents. In this paper, we propose an agent-based approach that performs data processing and data aggregation decisions locally i.e., at nodes rather than bringing data back to a central processor (sink). Our proposed approach increases the network lifetime by generating an optimal routing path for mobile agents to transverse the network. The proposed approach consists of two phases. In the first phase, Dijkstra’s algorithm is used to generate a complete graph to connect all source nodes in a WSN. In the second phase, a genetic algorithm is used to generate the best-approximated route for mobile agents in a radio harsh environment to route the sensory data to the base-station. To demonstrate the feasibility of our approach, a formal analysis and experimental results are presented.     

Termite-hill: Performance optimized swarm intelligence based routing algorithm for wireless sensor networks

A wireless sensor network (WSN) is a large collection of sensor nodes with limited power supply, constrained memory capacity, processing capability, and available bandwidth. The main problem in event gathering in wireless sensor networks is the formation of energy-holes or hot spots near the sink. Due to the restricted communication range and high network density, events forwarding in sensor networks is very challenging, and require multi-hop data forwarding. Improving network lifetime and network reliability are the main factors to consider in the research associated with WSN. In static wireless sensor networks, sensors nodes close to the sink node run out of energy much faster than nodes in other parts of the monitored area. The nodes near the sink are more likely to use up their energy because they have to forward all the traffic generated by the nodes farther away to the sink. The uneven energy consumption results in network partitioning and limit the network lifetime. To this end, we propose an on-demand and multipath routing algorithm that utilizes the behavior of real termites on hill building termed Termite-hill which support sink mobility. The main objective of our proposed algorithm is to efficiently relay all the traffic destined for the sink, and also balance the network energy. The performance of our proposed algorithm was tested on static, dynamic and mobile sink scenarios with varying speed, and compared with other state-of-the-art routing algorithms in WSN. The results of our extensive experiments on Routing Modeling Application Simulation Environment (RMASE) demonstrated that our proposed routing algorithm was able to balance the network traffic load, and prolong the network lifetime.