Proposed Energy Efficient Algorithm for Clustering and Routing in WSN

Wireless Personal Communications - Clustering in WSN recently become big challenge and attracts many researches. Clustering is a way of grouping sensor nodes into clusters with CH responsible to...     

基于剩余能量与最小邻近簇半径的成簇算法

针对LEACH算法在选举簇首时没有考虑节点的剩余能量,并且簇首的分布不均匀,簇内节点与簇首采取单跳通信,从而影响网络生命期的问题,提出了利用剩余能量和最小邻近簇半径调整节点成为簇首的概率,并在簇内对部分节点采取多跳通信的成簇算法.仿真结果表明,该算法有效延长了网络生命期,均衡了簇首的分布,并且改善了簇内的结构.     

一种传感器网络跨层能量优先成簇算法

文中提出CLEEC跨层能量优先成簇算法,基于节点剩余能量来选举簇头节点,使网络能量均匀消耗,延长网络的生存时间.模拟实验结果显示,与现有的典型成簇方案相比,新的成簇算法在传感器网络下提供了更长的网络生存时间和更大的网络吞吐量.     

基于CPK和能量的安全路由算法

无线传感网是由大量传感器节点组成的网络,具有无线通信、自组织、无中心的组网特性。针对无线传感器网络面临的众多安全问题,从组合公钥和节点能量入手,对LEACH进行改进,提出了一种基于CPK和能量的安全有效路由算法。通过仿真实验,改进的路由协议比LEACH具有更长的寿命,而且在安全性方面也进一步加强了。     

Event Distortion-Based Clustering Algorithm for Energy Harvesting Wireless Sensor Networks

Wireless Personal Communications - Wireless sensor networks (WSNs) consist of compact deployed sensor nodes which collectively report their sensed readings about an event to the Base Station (BS)....     

基于能量和密度的WSNs动态分区成簇路由算法

针对传统的层次型网络存在的分簇不合理和能耗不均衡等问题,提出了一种基于能量和密度的动态非均匀分区成簇路由算法。该算法先根据节点与基站之间的距离将网络合理地进行动态的区域划分,在区域内成簇,使靠近基站的簇规模小于距离基站较远的簇,减少靠近基站的簇首负担和能量消耗;通过综合考虑节点剩余能量和节点密度等因素来优化簇的非均匀划分和簇首的选择,簇首间采取基于数据聚合的多跳传输机制。仿真结果表明,与经典路由算法LEACH相比,该算法能有效均衡节点能耗,延长网络生命周期。     

Mobility-Aware and Load Balancing Based Clustering Algorithm for Energy Conservation in MANET

Mobile ad hoc network (MANET) is one of wireless communication network architecture that has received a lot of attention. MANET is characterized by dynamic network topology and limited energy. With mobility-aware and load balancing based clustering algorithm (MLCA), this paper proposes a new topology management strategy to conserve energy. Performance simulation results show that the proposed MLCA strategy can balances the traffic load inside the whole network, so as to prolong the network lifetime, meanly, at the same time, achieve higher throughput ratio and network stability.     

An Agile Adaptive Clustering Algorithm for Wireless Sensor Networks Considering Energy Constraint

Wireless Personal Communications - Security in vehicular ad hoc network (VANET) is one of the major challenging topics and the secure key interchange between two legitimate vehicles is an important...     

无线传感器网络中分簇算法能量有效性分析

该文针对无线传感器网络是一种能量受限的网络,首先说明根据节点数目以及分布区域特征,确定合理的成簇数目是分簇算法设计的核心;然后给出节点在通信中使用的能量模型,按照分簇的不同层数,分别对其成簇的数目进行理论上的优化分析,最后通过实验的方法验证优化的分簇算法能够满足能量有效性,对均匀节点能耗分布,提高网络生存时间有着重要作用。     

A Location-less Energy Efficient Algorithm for Load Balanced Clustering in Wireless Sensor Networks

One of the biggest challenges in Wireless Sensor Networks (WSNs) is to efficiently utilise the limited energy available in the network. In most cases, the energy units of sensors cannot be replaced or replenished. Therefore, the need for energy efficient and robust algorithms for load balancing in WSNs is ever present. This need is even more pronounced in the case of cluster-based WSNs, where the Cluster Head (CH) gathers data from its member nodes and transmits this data to the base station or sink. In this paper, we propose a location independent algorithm to cluster the sensor nodes under gateways, as CHs into well defined, load balanced clusters. The location-less aspect also avoids the energy loss in running GPS modules. Simulations of the proposed algorithm are performed and compared with a few existing algorithms. The results show that the proposed algorithm shows better performance under different evaluation metrics such as average energy consumed by sensor nodes vs number of rounds, number of active sensors vs number of rounds, first gateway die and half of the gateways die.

     

Mobility Aware Clustering Scheme with Bayesian-Evidence Trust Management for Public Key Infrastructure in Ad Hoc Networks

Wireless Personal Communications - The autonomous nodes in Mobile Ad Hoc Networks (MANETs) are vulnerable to attacks ranging from passive to active, due to the dynamic mobility paradigm. Earlier,...     

Fuzzy-Based Secure Authentication and Clustering Algorithm for Improving the Energy Efficiency in Wireless Sensor Networks

Wireless Sensor Networks are categorized by the improved energy consumption parameters. The nodes are deployed in challenging surroundings and they are not communicated for a long time with lacking of energy level. These kinds of nodes will be the victim of security attacks, the conciliation nodes are guided all the data packets send to the base station of the network. In this paper proposes, The Fuzzy-based Secured Authentication and Clustering (FSAC) Algorithm observes the different kinds of the data packets transmitted within the sensors to avoid the attacks. The FSAC is implemented to use the proficient routing path to diminish the energy consumption. This method finds the adjacent transmitting node to improve the proficient path setup for the data packet routing using the fuzzy logic method. The simulation results specify that the proposed method increases the energy up to 12% compared to the related methods.

     

一种基于超节点和能量优先的无线传感器网络的高效查询算法

文中提出一种基于超节点和能量优先的无线传感器网络的高效查询算法.该算法包括传感器节点的层次聚类算法及基于能量代价模型等支撑技术,主要解决了以下两个问题:(1)数据如何从传感器节点传送到汇聚节点;(2)通过对传感器节点进行聚类,形成超节点,使得在查询过程中减少对无关节点的访问.实验表明该算法在提高无线传感器网络查询效率的情况下,延长网络的使用寿命.     

Energy Efficient Clustering Algorithm Based on Particle Swarm Optimization Technique for Wireless Sensor Networks

Wireless Personal Communications - In this paper, we propose a Gated Recurrent Unit(GRU) neural network traffic prediction algorithm based on transfer learning. By introducing two gate structures,...     

Small and Medium Enterprises Innovation Management System Based on Clustering Algorithm

Wireless Personal Communications - For most small and medium-sized enterprise (SME), the establishment of special customer management system requires specialized hardware and professional...     

Fault Tolerance and Energy Efficient Clustering Algorithm in Wireless Sensor Networks: FTEC

Wireless Personal Communications - The beacon order and Superframe order parameter values, as defined by the IEEE 802.15.4 standard specification, constrain the number of data packets that can be...     

Improved Bio Inspired Energy Efficient Clustering Algorithm to Enhance QoS of WSNs

Wireless Personal Communications - In the growing world of technology, use of WSN is increasing at an exponential rate in many real time applications such as security, monitoring, tracking,...     

蚁群聚类算法在客户关系管理中的应用

蚁群算法是优化领域中一种新兴的生物进化算法,与传统的算法相比,其具有并行、正反馈和启发式搜索等特点.在此,运用蚁群聚类算法对客户关系管理中的客户分类问题进行分析.结果表明,通过此算法对企业的客户消费数据进行分类,以此来获取不同类型客户的需求,对支持企业决策方面有着极为重要的理论参考价值和实际应用意义.     

Clustering for Topological Interference Management

To reduce the overhead and complexity of channel state information acquisition in interference alignment, the topological interference management(TIM) was proposed to manage interference, which only relied on the network topology information. The previous research on topological interference management via the low-rank matrix completion approach is known to be NPhard. This paper considers the clustering method for the topological interference management problem, namely,the low-rank matrix comple...     

异构云无线接入网架构下面向混合能源供应的动态资源分配及能源管理算法

针对面向混合能源供应的 5G 异构云无线接入网(H-CRANs)网络架构下的动态资源分配和能源管理问题,该文提出一种基于深度强化学习的动态网络资源分配及能源管理算法。首先,由于可再生能源到达的波动性及用户数据业务到达的随机性,同时考虑到系统的稳定性、能源的可持续性以及用户的服务质量(QoS)需求,将H-CRANs网络下的资源分配以及能源管理问题建立为一个以最大化服务提供商平均净收益为目标的受限无穷时间马尔科夫决策过程(CMDP)。然后,使用拉格朗日乘子法将所提CMDP问题转换为一个非受限的马尔科夫决策过程(MDP)问题。最后,因为行为空间与状态空间都是连续值集合,因此该文利用深度强化学习解决上述MDP问题。仿真结果表明,该文所提算法可有效保证用户QoS及能量可持续性的同时,提升了服务提供商的平均净收益,降低了能耗。