Yanyan Han

The Implementation of Wireless Sensor Network Visualization Platform Based on Wetland Monitoring

In sensor networks concerning about data, data management and representation have become a crucial issue. In this paper, sensor networks deployed to monitor wetland are built with the visualization of their data and topology. The environmental data, such as temperature, humidity, both in atmosphere and soil, illumination intensity and PH around the wetland are sent by the wireless sensor networks to a base station which is connected to the visualization platform on a PC. The approach presented in this paper utilizes serial communication, database management, data and topology visualization to visualize the data gathered by the wireless sensor networks. The data visualization platform can get and display real time information of networks and makes the system convenient to users.

Link Prediction and Route Selection Based on Channel State Detection in UASNs

In Underwater Acoustic Sensor Networks (UASNs), data route is often disrupted by link interruption which will further lead to incorrect data transmission due to high propagation delay, Doppler effect, and the vulnerability of water environment in acoustic channel. So how to correctly transmit data when there are interrupted links on the data path is just the issue Delay Tolerant Networks (DTNs) aim to solve. In this paper, we propose a model to predict link interruption and route interruption in UASNs by the historical link information and channel state obtained by periodic detection. A method of decomposing and recomposing routes hop by hop in order to optimize route reselection is also presented. Moreover, we present a back-up route maintenance scheme to keep back-up routes with fresh information. In case of single route, we advance the idea to utilize the periodicity of environmental changes to help predict link interruption. In the simulation, we make comparisons on node energy consumption, end-to-end delay as well as bit error rate with and without link prediction. It can be derived that the network performance is significantly improved with our mechanism, so that our mechanism is effective and efficient while guaranteeing reliable data transmission.

Research on Wireless Sensor Network and Carrying Network Integration Based on Gateway

In this paper, we analyze the protocol architecture of Wireless Sensor Networks (WSNs) and carrying networks, and propose a connection scheme based on gateway, which is suitable to the integration of these two networks. According to the characteristics of these gateways, we put forward the concept of end-to-end connection, give the address mapping scheme to the gateway and design a simple gateway node. To realize higher connection reliability, we advance a method of backup gateway and multi-gateways selections. This work can greatly facilitate the research for connecting WSN with the carrying network, IoT (Internet of Things), which also makes contribution to the influence of this connection.

Carrying Network Accessing Architecture and Strategy Based on Business Differentiation

Due to the abilities of real-time sensing and information sharing, Wireless Sensor Network (WSN) has been applied in more and more fields. Basing on the emergence of Internet of Things (IoT), the issue about heterogeneous network integration is becoming more important. We first analyze the new businesses that arise recently for cell phone users as well as the potential effect on carrying network. After that we mainly discuss the influence on traditional carrying network for WSN accessing and taking concurrent businesses as the study case, common access architecture from WSN to carrying network is constructed, which makes use of business differentiation. Furthermore, we propose the idea of tortuous access from WSN to the gateway in the carrying network to avoid congested paths with simulation and verification. Finally, we conclude the possible impacts for the integration of these two networks and present possible solutions.

The Method of Multiple Surface Gateways Positioning in UWSNs

This paper, based on the application background of the interaction of wireless communication network and UnderWater Sensor Networks(UWSNs), with a view to the positive influence on the performance of UWSNs while multi-gateways on surface as well as their positions vary, regarding the delay, energy consumption and packet loss ratio of network as the optimization goal, the relation model of the number of gateways and network performance is derived. Furthermore, the optimized position of gateways has been determined through a Genetic Algorithm(GA). The simulation results indicate that network delay, energy consumption and loss rate of packet can be efficiently improved by means of multiple gateways, verifying the effectiveness of the model proposed in this paper.

Topology Optimization Based on Balanced Network Energy and Load in Underwater Acoustic Sensor Network

The wide prospects of application of Underwater Acoustic Sensor Networks (UASNs), promoting the technology of UASNs. Network topological structure makes a strong impact on the throughput, power consumption and stability of network, wherefore it is important to optimize topological structure of network for UASNs. The underwater acoustic channel is characterized by limited bandwidth, lower communication rate, resulting in the appearance of network bottleneck and energy greatly depleted of nodes. We aimed at this problem, and proposed a optimization algorithm of topological for UASNs, which uses the condition of optimization with node dump energy, load of network and edge-path respectively. It is distributed and top-down algorithm. We adopt graph theory towards adjusting topological structure. Simulation results show that our optimization method not only balance the energy consumption, but also prolong network lifetime and improve network throughout.

Task Allocation Algorithm Based on Robot Ability and Relevance with Group Collaboration in a Robot Team

Task allocation for mobile robots team is a crucial issue before performing a certain task. The algorithm we propose here is named RARGC—a task allocation algorithm based on Robot Ability and Relevance with Group Collaboration, where robot ability is weighted by belief degree, relevance stands for a fresh concept of “history relevance” between every two robots to establish reasonable groups for better collaboration, and group collaboration includes inter and inner group help strategy be adopted as different nodes being failures in unknown environment. RARGC emphasizes the role of “agent node” in each group that is responsible for task competition and group leadership; formation maintenance as well as task execution with changing agents. Simulation on Player/Stage shows that the mechanism is feasible and valid.

A Topology Control Method in Mobile Robot Team Based on Formation Maintenance

This paper proposes a topology control method based on formation maintenance and nodes in different groups, which mainly involves issues on the network topology variation caused by the inconsistent velocities of all nodes and communication failure between local nodes and different groups in mobile robot team. It embodies the important role of formation maintenance associated with making groups when topology changes. The simulation result has demonstrated that this method can make effective preservation and restoration on the mobile network communication link.