Xinyu Jin

ACO based qos routing algorithm for wireless sensor networks

In this paper, we proposed an approach for Quality of Service (QoS) routing algorithm of Wireless Sensor Networks (WSNs) based on Ant Colony Optimization (ACO). The special characteristics of WSNs need to reduce the computational complexity and energy consumption of the QoS routing algorithm especially. We note that ACO algorithm using collective intelligence of artificial ants as intelligent agents is very appropriate to solve the combinatorial optimization problems in a fully distributed way, so in this paper we use modified ACO approach to solve Delay Constraint Maximum Energy Residual Ratio (DCMERR) QoS routing problem of WSNs. The QoS routing solution proposed in this manuscript, which is named as ACO based QoS routing algorithm (ACO-QoSR), searches for the best paths, which are satisfied with the QoS requirements with intelligent artificial ants. To overcome the problem of limited energy in WSNs, there are some modifications to enhance ACO’s convergence rate. ACO-QoSR algorithm is the tradeoff between a certain guaranteed QoS requirements and acceptable computational complexity. The simulation results verify that ACO-QoSR algorithm can reduce the selected paths’ delay and improve the selected paths’ normalized energy residual ratio at the similar levels of routing overhead.

A Hybrid Radio Over Fiber Wireless Sensor Network Architecture

Wireless sensor networks (WSN) are often applied to monitor the environment such as mine. Due to the rapid attenuation of the wireless signals and the limited power of the WSN nodes, the performances of WSN in these environments are not ideal. In this paper, we present a hybrid radio over fiber wireless sensor network architecture to compensate the weakness of traditional WSN architecture. Considering the remote antenna unit of radio over fiber as a heterogeneous cluster sink node of the WSN, this paper investigates the impact of different rules and behaviors of remote antenna unit on the hybrid architecture. Analyses and simulation results show that a suitable number of remote antenna units can significantly reduce the network delay, energy consumption and improve the practicability of the WSN.

A RED based minimum energy routing algorithm for wireless ad-hoc networks

Mobile nodes in mobile ad-hoc networks (MANETs) operate on limited batteries, so its a very important issue to use energy efficiently and reduce power consumption. To maximize the lifetime of an ad-hoc network, it is essential to prolong each individual nodes life through minimizing the transmission energy consumption; some minimum energy routing schemes in MANETs have been developed for this reason. In this paper, a novel minimum energy routing scheme based on the mobile nodes energy consumption and the hierarchical nodes congestion levels, which is named RED based minimum energy routing (REDMER) scheme, has been presented. REDMER distinguishes nodes congestion levels according to the principle of the well-known AQM (active queue management) scheme RED (random early detection). The simulation results verify that the performance of the REDMER scheme is better than the existing minimum energy routing scheme MTPR (total transmission power routing).

A Weather-Condition Prediction Algorithm for Solar-Powered Wireless Sensor Nodes

Recently, Wireless Sensor Networks (WSNs) begin to use the solar energy. But the energy from the environment is usually unstable, An efficient solar prediction algorithm should be studied. In this paper, a novel solar energy prediction algorithm, namely Weather-Conditioned Selective Moving Average (WCSMA), is proposed by using the trend similarity of energy harvesting and the classification of sunny and cloudy days. The simulation results show that the relative mean error of WCSMA algorithm only around 10%, and it is much lower than the Exponential Weighted Moving Average (EWMA) algorithm which is widely used now.

Energy-Efficient Node Selection for Acoustic Source Localization in Wireless Sensor Network

An Energy-efficient Node Selection (ENS) mechanism has been proposed to improve the localization precision of target tracking with low computational complexity and energy consumption. The localization is based on wireless multimedia sensor network with cellular topology. The ENS mechanism utilizes the Global Node Selection algorithm in Energy-based acoustic source localization (GNSE) and the Closest Node Selection (CNS) method synthetically. Firstly the cluster head simply uses the CNS method to select nodes. And then it decides whether to use the GNSE algorithm via evaluating the determinant condition with the information of nodes selected by the CNS. By transmitting a packet only to the selected nodes, instead of all the target-sensed ones, to ask for the position and measurement information, energy could be saved. The simulation shows that the ENS is 67.61% more precise than the CNS, and saves 74.07% energy relative to the GNSE and the CNS when the computational energy consumption is ignored. The ENS mechanism achieves obtaining high localization precision with fewer nodes and prolongs the lifetime of the network greatly.

A Camera Angle Based Image Background Subtraction Strategy for WMSNs Target Tracking

A novel node management strategy is proposed in this paper to solve the target tracking problem for wireless image sensor networks. The node management server is responsible for forecasting the target position, selecting the node to collect image data, and broadcasting control messages to all nodes. After the node sensor receives the messages sent from the server, the node sensor will start the camera, then collect, subtract, and transmit the image data according to the messages. The camera angle is introduced in the node selection algorithm. In order to perform image background subtraction and save energy consumption on traffic, we utilize the camera angle to subtract the redundant image data in the background. The simulation results show that the mechanism can greatly reduce energy cost, especially with the appropriate camera parameters.

A Multi-Path Routing Protocol for Target Tracking in WMSNs

Wireless multimedia sensor networks (WMSNs) are expected to find wide applicability in target tracking in the near future. This paper proposes a dynamic capacity multi-path routing protocol (DCM), based on improved Ford-Fulkerson algorithm, to solve the problem of data transmission from anchor nodes to base station (BS). By adjusting the parameter of flow capacity in max-flow model, a multi-path routing map which makes the data stream spread extensively is founded. Compared with different static capacity values, the simulation results have verified that DCM is more energy efficient, and strikes a balance between reducing the node power consumption and increasing the lifetime of WMSNs.

Collaborative Image Transmission Based on Shape Matching over WMSN in Field of Monitoring

In this work, we propose a collaborative image transmission based on shape matching over WMSN in field of monitoring. First, the SensEyes node model is utilized to lessen the transmission of background from the nodes. After the nodes detect a same target during shape matching, the transmission of the redundant data of the targets between nodes is eliminated. In order to reduce the delay produced by the image processing, a new assignment algorithm is proposed to solve the responding points assignment problem.