Energy saving proactive neighbor discovery algorithm in mobile low-duty-cycle wireless sensor network

Mobile low-duty-cycle wireless sensor network is a new kind of wireless multi-hop network,which is self-organized by a large number of nodes that have mobile ability and are able to get into sleep for a long time.Such networks have wide application prospects in national defense,industry,agriculture and other fields that need long term monitoring in severe environments.However,the movement and the sleeping features of nodes lead to constantly change of network topology,which makes the nodes difficult to discover their neighbors quickly.Therefore,the nodes cannot achieve optimal distribution decisions.In order to solve this problem,a new proactive neighbor discovery algorithm was proposed.This algorithm made the nodes in the network take the initiative to find their neighbors when they woke up,and avoided the delay caused by long time waiting in the traditional passive neighbor discovery.In addition,by predicting the movement speed and distance of neighbors,the neighbor set at the next moment can be quickly determined,which can further reduce the delay and obtain more accurate neighbor discovery results.Theoretical analysis and experimental results show that compared with the existing algorithms,the algorithm can find all the neighbors in MLDC-WSN with less energy consumption and lower delay.     

Low-latency algorithm for improving data persistence in mobile low-duty-cycle wireless sensor network

Mobile low-duty-cycle wireless sensor network (MLDC-WSN) are a kind of new ad hoc networks that are appeared in recent years.In MLDC-WSN,the nodes only have limited storage spaces.Moreover,the nodes would move or sleep from time to time.Therefore,these networks have some problems such as connectivity is hard to be maintained and data are hard to be transmitted to their destinations for storage in time.As a result,data persistence (i.e.,the probability that all data can be recovered after some nodes die in the networks) is low.A distributed algorithm named LT-MDS for improving data persistence in MLDC-WSN was proposed.The algorithm used a new infectious data dissemination method to transmit the data,which enabled the data to be received by almost all the mobile nodes in a network with low latency and improved the reliability of the network.When a node receives the data,it would use LT (Luby transform) codes to encode and save them.By this way,the nodes with limited storage spaces can save more data information.Theoretical analyses and simulations show that LT-MDS can complete the process of data dissemination and preservation with low latency,and it can achieve high data persistence.     

An asynchronous neighbor discovery algorithm for wireless sensor networks

We consider the problem of determining, in a distributed, asynchronous and scalable manner, what nodes are “neighbors” in a wireless network. Neighbor discovery is an important enabler of network connectivity and energy conservation. An asynchronous, probabilistic neighbor discovery algorithm is presented that permits each node in the network to develop a list of its neighbors, which may be incomplete. The algorithm is analyzed and parameter settings are derived which maximize the fraction of neighbors discovered in a fixed running time. A companion distributed algorithm is also described which allows all the nodes in the network to execute that neighbor discovery algorithm without the need to agree on a common start time.     

无线传感器网络一种改进的convex定位算法

以convex(凸规划)定位算法为基础,针对range-free定位算法中anchor(已知节点)比例低带来的定位精度低、网络覆盖率低的问题,提出了二跳信息改进定位算法。该算法中,未知节点在通信中加入自身邻居anchor的ID和位置信息并发送给邻居节点,相应的邻居节点从中确定自己的二跳邻居anchor,并利用二跳邻居anchor的二跳通信范围来减小未知节点的可能存在区域,进而提高未知节点的定位精度。仿真表明,二跳信息改进定位算法在anchor节点比例较低情况下能有效提高定位精度,而在anchor节点比例较高时接近原convex算法定位精度,并且网络规模越大这种提高越显著。     

基于定向收发的水声通信网络邻节点发现机制

针对水声通信网络邻节点发现困难的问题,该文提出一种基于定向收发的邻节点发现机制。该机制中节点只采用定向方式发送和接收信号,能够避免增益不对称引起的隐藏终端问题,增加网络覆盖范围;时间被划分为邻节点发现时隙和侦听回复时隙,发现时隙中节点发送HELLO信号,然后接收邻节点回复的REPLY信号,侦听回复时隙中节点侦听源节点发送的HELLO信号,然后回复REPLY信号,节点通过基于竞争的HELLO/REPLY两路握手以直接发现和间接发现两种方式完成邻节点发现,能够克服“聋”节点问题,提升邻节点发现效率。仿真结果表明,在不同的网络节点密度与发射天线波束扇区数目条件下,该邻节点发现机制相比随机两路邻节点发现机制,邻节点平均发现时延更短,邻节点发现率更高。     

Evaluating the limitations of and alternatives in beaconing

In position-based routing protocols, each node periodically transmits a short hello message (called beacon) to announce its presence and position. Receiving nodes list all known neighbor nodes with their position in the neighbor table and remove entries after they have failed to receive a beacon for a certain time from the corresponding node. In highly dynamic networks, the information stored in the neighbor table is often outdated and does no longer reflect the actual topology of the network causing retransmissions and rerouting that consume bandwidth and increase latency. An analysis on the possible impact of beacons due outdated and inaccurate neighbor tables is needed. We quantify by analytical and simulation means the possible performance loss and explore the limitations of position-based routing protocols which use beaconing. In highly mobile ad-hoc networks, the delay can increase by a factor of 20. The neighbor table inaccuracy is the main source of packet loss in uncongested networks. We propose and evaluate several concrete mechanisms to improve the accuracy of neighborhood information, e.g., by dynamic adaptation of the timer values when beacons are broadcasted, and show their effectiveness by extensive simulation.     

Energy-efficient neighbor discovery protocol for mobile wireless sensor networks

Low energy consumption is a critical design requirement for most wireless sensor network (WSN) applications. Due to minimal transmission power levels, time-varying environmental factors and mobility of nodes, network neighborhood changes frequently. In these conditions, the most critical issue for energy is to minimize the transactions and time consumed for neighbor discovery operations. In this paper, we present an energy-efficient neighbor discovery protocol targeted at synchronized low duty-cycle medium access control (MAC) schemes such as IEEE 802.15.4 and S-MAC. The protocol effectively reduces the need for costly network scans by proactively distributing node schedule information in MAC protocol beacons and by using this information for establishing new communication links. Energy consumption is further reduced by optimizing the beacon transmission rate. The protocol is validated by performance analysis and experimental measurements with physical WSN prototypes. Experimental results show that the protocol can reduce node energy consumption up to 80% at 1–3 m/s node mobility.     

智能家居ZigBee网络的构建与路由优化

ZigBee网络技术是一项新兴的低成本、低功耗的短距离无线通信技术,在智能家居中有广阔的应用前景。介绍了智能家居中ZigBee的通讯协议和网络地址分配方法,并针对传统的AODVjr路由算法在路由过程中RREQ分组过量洪泛问题和Cluster-Tree算法只按父子关系选择路由问题,提出了一种改进路由算法。改进算法将AODVjr和Cluster-Tree算法相结合,引入邻居表,适当控制RREQ转发方向,并考虑节点最小剩余能量。仿真结果表明,改进算法可以减少路由开销,延长节点的生存时间,均衡网络负荷。     

Wakeup strategy based on multi-objective optimization for fixed relay nodes

In order to deal with the “tidal effect” when people move in the city and solve the problem of high energy consumption of fixed relay nodes in opportunistic networks,a wakeup strategy of multi-objective optimization was proposed,which made use of the message forward ability and energy consumption of fixed relay nodes.This strategy used energy efficiency as the indicator to make the nodes awake,and deployed a network revenue-energy consumption model to resolve the contradiction between energy consumption and message forward ability.As the selection problem of awake relay nodes was a NP-hard problem,genetic algorithm was used to select proper fixed relay nodes to keep awake.In this process,selection operator was improved to make the algorithm converge to solution space quickly.Experiments show that the proposed wakeup strategy can guarantee the successful rate of message transmission and improve the average message forwarding capabilities of fixed relay nodes by consuming a unit energy.     

BIIR: A Beacon Information Independent VANET Routing Algorithm with Low Broadcast Overhead

Most of the existing VANET routing protocols rely on information collected from beacons for making routing decisions such as next neighbor selection. Beacons are very small size hello messages that each vehicle broadcasts periodically. Owing to very small payload size of beacons as compared to the payload size of a data message, they can easily pass through even very weak links, through which a data message could never pass. Therefore, the use of beacon information for making routing decisions in a highly dynamic scenario such as VANETs may cause selection of routes through which data message can never be sent. Several researchers have given solutions that do not use beacon information for making routing decisions. But most of these solutions incorporate a large number of broadcasts to forward the data packets, causing wastage of bandwidth. In this paper, we present a beacon information independent geographic routing algorithm called BIIR, which reduces the number of broadcasts to forward the data packets by making intelligent use of information collected by the vehicle during previous route discovery attempts for a destination. Our simulation results have shown that the proposed algorithm outperforms the existing beacon less routing protocols in terms of the average number of broadcasts per data packet forwarding, packet delivery ratio and end to end delay experienced by the data messages.     

自适应高效无线传感器网络时间同步优化算法

针对无线传感器网络全网多跳自适应时间同步效率低的问题,在接收端与接收端同步模型基础上,该文提出一种自适应高效无线传感器网络时间同步优化算法(AEO)。首先,双节点同步时,从节点接收来自参考节点的同步消息并进行确认,在同步周期结束后通过拟合估计和数据更新完成时间修正,构建交互参数同步包,并与主节点进行信息交换完成同步过程。其次,全网同步时,建立Voronoi多边形拓扑结构,认定拓扑结构中参考节点和邻域节点身份(ID),参考节点覆盖区域间通过邻域节点交换同步信息,实现自适应多区域节点联合时间同步。仿真结果表明该算法在双节点时间同步中能够保证同步误差较小,网络能耗较低;同时,Voronoi拓扑相较于其他典型拓扑,在连通效率和收敛时间方面均有所改进。     

一种新的紫外光自组织网络的时分多址接入邻居发现算法

为了适应大 规模及拓扑变化较快的紫外光(UV)自组织网络,本文以提高邻居发现概率为目的,提出了一 种基于时分多址接入(TDMA, time division multiple access)的UV定向邻居发现新算法。新算法在DTRA(directional transmission and reception algorithm)协议的基础上采用了退避时延机制, 并通过邻居判断和维护机制让节点快速更新本地邻居表。实验结果表明,新 算法充分考虑了UV大气传输特性,能够有效地解决节点冲突问题,并通过找到一个最佳退避 时延使得节点冲突 概率和邻居发现时延之间达到一个较好的平衡。     

A novel convex hull-based flooding scheme using 1-hop neighbor information for mobile ad hoc networks

Flooding is one of the most essential and commonly used operations in mobile ad hoc networks. Different sender-based and receiver-based flooding algorithms have been presented separately in the literature. To integrate the advantages of sender-based and receiver-based flooding algorithms, this paper proposes a novel joint 1-hop neighbor information-based flooding scheme that consists of two sub-algorithms: the sender-phase algorithm and the receiver-phase algorithm. The sender-phase algorithm of our flooding scheme helps a node select a subset of its 1-hop neighbors to forward the flooding message. Based on the convex-hull concept, this algorithm selects forwarding nodes with the highest contribution to flooding message dissemination. On the other hand, the receiver-phase algorithm complements the sender-phase algorithm, allowing our flooding scheme to guarantee full delivery. We prove that our flooding scheme requires lower time complexity O(n log h), where h is the number of forwarding nodes, than the best known 1-hop neighbor information-based flooding algorithms proposed by Liu et al. and Khabbazian et al. Additionally, to alleviate the local optimal problem caused by sender-based flooding algorithms, we relax the full delivery requirement and modify our flooding scheme to discard more redundant rebroadcasting operations. Simulation experiments are conducted to compare the performance of our flooding schemes with those of Liu et al.??s and Khabbazian et al.??s flooding algorithms. The simulation results show that our flooding schemes accomplish a lower ratio of broadcasting nodes and a higher message delivery ratio simultaneously under various network conditions. Moreover, since our flooding schemes have lower ratios of broadcasting nodes, they incur fewer packet collisions on the network. Consequently, message disseminations applying our flooding schemes have a smaller effect on other transmissions of different message types.     

Ad-hoc网络的大步进节点发现算法

主要研究采用了定向天线的Ad-hoc网络中的节点发现策略,针对Ad-hoc网络中邻节点发现的阶段中,使用随机扫描算法带来的性能缺陷,提出了一种基于TDMA MAC协议的大步进节点发现扫描算法。该算法通过预先划分场景的区域,安排不同区域内的节点在不同扫描周期内扫描的顺序和方式,从而达到了加快邻节点发现的速度,减少建网时间,提高网络的性能。并通过理论推导、OPNET仿真和数据结果分析比较,验证了算法的性能。     

PND: a p‐persistent neighbor discovery protocol in wireless networks

In wireless communications research, a number of literature assume that every node knows all of its neighbor nodes. To this end, neighbor discovery research has been conducted, but it still has room for improvement in terms of discovery delay. Furthermore, prior work has overlooked energy efficiency, which is considered as the critical factor in wireless devices or appliances. For better performance with respect to the discovery delay and energy efficiency, we proposed a novel p‐persistent‐based neighbor discovery protocol and devised a simple and light algorithm estimating the number of neighbor nodes to support the proposed protocol. Our protocol requires a lower delay and a smaller number of messages for the discovery process than the existing protocols. For extensive performance evaluation, we adopted extra comparison targets from other research areas within the same context. Copyright © 2011 John Wiley & Sons, Ltd.     

Energy-Optimal Distributed Algorithms for Minimum Spanning Trees

Traditionally, the performance of distributed algorithms has been measured in terms of time and message complexity.Message complexity concerns the number of messages transmitted over all the edges during the course of the algorithm. However, in energy-constrained ad hoc wireless networks (e.g., sensor networks), energy is a critical factor in measuring the efficiency of a distributed algorithm. Transmitting a message between two nodes has an associated cost (energy) and moreover this cost can depend on the two nodes (e.g., the distance between them among other things). Thus in addition to the time and message complexity, it is important to consider energy complexity that accounts for the total energy associated with the messages exchanged among the nodes in a distributed algorithm. This paper addresses the minimum spanning tree (MST) problem, a fundamental problem in distributed computing and communication networks. We study energy-efficient distributed algorithms for the Euclidean MST problem assuming random distribution of nodes. We show a non-trivial lower bound of ω(log n) on the energy complexity of any distributed MST algorithm. We then give an energy-optimal distributed algorithm that constructs an optimal MST with energy complexity O(log n) on average and O(log n log log n) with high probability. This is an improvement over the previous best known bound on the average energy complexity of ?(log2 n). Our energy-optimal algorithm exploits a novel property of the giant component of sparse random geometric graphs. All of the above results assume that nodes do not know their geometric coordinates. If the nodes know their own coordinates, then we give an algorithm with O(1) energy complexity (which is the best possible) that gives an O(1) approximation to the MST.     

Neighbor discovery in wireless networks with sectored antennas

Directional antennas offer many potential advantages for wireless networks such as increased network capacity, extended transmission range and reduced energy consumption. Exploiting these advantages requires new protocols and mechanisms at various communication layers to intelligently control the directional antenna system. With directional antennas, many trivial mechanisms, such as neighbor discovery, become challenging since communicating parties must agree on where and when to point their directional beams to communicate.In this paper, we propose a fully directional neighbor discovery protocol called Sectored-Antenna Neighbor Discovery (SAND) protocol. SAND is designed for sectored-antennas, a low-cost and simple realization of directional antennas, that utilize multiple limited beamwidth antennas. Unlike many proposed directional neighbor discovery protocols, SAND depends neither on omnidirectional antennas nor on time synchronization. SAND performs neighbor discovery in a serialized fashion allowing individual nodes to discover all potential neighbors within a predetermined time. SAND guarantees the discovery of the best sector combination at both ends of a link, resulting in more robust and higher quality links between nodes. Finally, SAND reliably gathers the neighborhood information in a centralized location, if needed, to be used by centralized networking protocols. The effectiveness of SAND has been assessed via simulation studies and real hardware implementation.     

Robust and low‐communication geographic routing for wireless ad hoc networks

A novel beacon‐less algorithm called Blind Geographic Routing (BGR) is presented, which comes with an effective and robust recovery strategy to circumvent voids, and a new technique to avoid simultaneous forwarding by more than one node, features not included in other beacon‐less algorithms. BGR is the first beacon‐less algorithm that also works in 3D topologies. Additionally, BGR supports different delivery semantics, which specify how close a node must be to the destination location in order to receive the message, and how many nodes shall receive it. These semantics allow for routing not only to designated nodes with network‐wide known locations such as sinks, but to arbitrary destinations within the network area. It is shown through extensive simulation that BGR performs well even in the case of mobility, radio irregularity, and location errors, while GPSR as a beacon‐based algorithm suffers from severe problems in realistic scenarios that do not follow the unit disk graph model, even with recent enhancements of the original GPSR algorithm. Copyright © 2009 John Wiley & Sons, Ltd.     

无线供能反向散射通信中能耗最小化资源分配方法

针对无线供能反向散射通信网络,提出了一种满足传感设备通信需求及能量因果的专用能量站能耗最小化资源分配方法。在考虑非线性能量收集模型及不完美串行干扰消除基础上,通过联合优化专用能量站发射功率、传感设备反向散射通信时间、反向散射系数及其能量收集时间,构建了一个专用能量站能耗最小化的非凸多维资源分配问题。首先,构建辅助变量对反向散射系数与时间进行解耦,再利用目标函数是关于专用能量站发射功率的单调递减函数这一特性来设计一种基于二分法的迭代算法来获取原问题的最优解。仿真验证了所提算法的快速收敛性,同时,与同类算法相比,所提方法可为专用能量站节约更多的能量。     

Three-dimensional scan-based algorithm for directional neighbor discovery in ad hoc networks

In recent years, neighbor discovery techniques using directional antennas have attracted widespread attention. Most currently available directional neighbor discovery techniques are designed based on two-dimensional (2D) space. Although these algorithms can accomplish the discovery between nodes, the algorithm portability is poor for three-dimensional (3D) platforms, and the application scenarios are limited since new communication scenarios such as unmanned aerial vehicle (UAV) groups and maritime fleets emerge where information needs to be delivered in real time and nodes are located in 3D space. This paper proposes a new deterministic directional neighbor discovery algorithm in 3D space named 3D scan-based algorithm (3D-SBA) to meet the needs of the line-of-sight (LOS) scenes. Four existing neighbor discovery algorithms, namely, SBA-based random mode selection (SBA-R), quorum, complete random algorithm (CRA), and SBA-based leader election algorithm (LE), have been extended to our proposed 3D algorithm model for simulation and comparative analysis with 3D-SBA. The simulation results show that the 3D-SBA algorithm consumes 51.15%, 180.20%, 9.48%, and 17.49% of the time slots compared with the four existing algorithms mentioned above. However, the quorum algorithm has a very high node collision rate, up to 92.11%. Ultimately, the 3D-SBA algorithm has the best performance considering the conflicts and the density of network nodes.