Baoli Zhang

LSWD: localization scheme for wireless sensor networks using directional antenna

In this paper, the accuracy of location estimation of ad hoc deployed sensor nodes for a wireless sensor network in the presence of noisy environment and obstacle is discussed. Considering estimation accuracy, energy efficiency, and range independency, we propose a localization scheme using a mobile anchor node equipped with a directional antenna based on the geometry technique, called LSWD: Localization Scheme for Wireless Sensor Networks using Directional Antenna, this scheme make use of directional antenna concentrates energy on a particularly direction with high gain and narrow covering area. Without increasing hardware and computational complexity, sensor nodes estimate their positions using the minimum number of beacon information. Our localization scheme is verified by network simulation software. The result shows that the proposed localization algorithm has higher accuracy and energy efficiency than other localization schemes.

An Improved Localization Algorithm for Wireless Sensor Network Using a Mobile Anchor Node

In this paper, we present an improved localization algorithm for wireless sensor network using a mobile anchor node which is equipped with a GPS receiver to obtain its position. The mobile anchor node moves around in a sensor area to broadcast beacon messages which include its location information. Each stationary sensor node takes the position as a beacon point and calculates its location by computing the intersection area of its communication coverage. After the first round localization, the un-localized sensor nodes can compute their locations with the help of localized stationary sensor nodes. Simulation results show that the accuracy of our proposed localization scheme is better than that of the other schemes using mobile anchor nodes.

A High Energy Efficient Localization Algorithm for Wireless Sensor Networks Using Directional Antenna

Directional antenna offers various benefits for wireless sensor networks, such as increased spatial reuse ratio and reduced energy consumption. Numerous localization schemes using anchor nodes equipped with omni-directional antenna to transmit beacon information have been proposed. However, the radiated RF signal from an omni-directional antenna is easier to be interfered by wide range of environment noise, which leads to greater localization error. In this paper, we tackle the problems in estimating location of randomly deployed sensor nodes with low gain omni-directional antennas. Since directional antenna concentrates energy on a particularly direction with a high gain and narrow covering area, we propose a high accuracy, energy efficient, and low cost localization scheme using a mobile anchor node equipped with a directional antenna. After investigating the effect of directional antenna on wireless sensor networks, we show how the location estimation problem can be solved using geometric characteristics on a 2D plane with directional antenna. Our localization scheme is verified by OPNET simulation software. The result shows that the proposed localization algorithm has higher accuracy and energy efficiency than other localization schemes.

Collaborative localization algorithm for wireless sensor networks using mobile anchors

Wireless sensor networks (WSNs) are a large ad hoc networks of distributed sensors that are equipped with low power supply modules. Location information is a basic requirement for many WSNs applications. Because localization accuracy is sufficient for many sensor network applications, range free localization schemes based on RSSI technique are being pursed as a cost effective and convenient alternative. In this paper, based on RSSI technique, we present a novel collaborative localization algorithm for wireless sensor networks using a group of mobile anchor nodes (GMAN). A sensor node estimates its location by receiving beacon messages from a GMAN. A GMAN is usually composed of three identical anchor nodes and their relative locations remain constant. The GMAN is equipped with a GPS and moves around in the sensor area and periodically broadcasts beacon messages. Sensor nodes take selected positions on the trajectory of the GMAN as beacon points. Simulation results show that our proposed localization scheme outperforms the other mobile-anchor-node based schemes in accuracy when irregular radio pattern and random node placement are considered.

Improving Network Lifetime for Wireless Sensor Network Using Compressive Sensing

Large-scale wireless sensor networks have been used for a wide range of applications, one of the most important issues in these applications is how to improve network lifetime of the sensor node powered by battery. In this paper, we propose a novel data collection algorithm using compressive sensing. The network energy consumption is analyzed theoretically. Our approach offers accurate data recovery from a small number compressed data. Its performance is evaluated in Tiny OS. Simulation results show that our approach can effectively prolong the network lifetime for large scale wireless sensor network. Its energy efficiency also outperforms the tree collection protocol stack.

An event-triggered localization algorithm for mobile wireless sensor networks

Many localization algorithms have been proposed for wireless sensor network. They focus on localization for static sensor network, but not for mobile one. With the development of sensor and network technology, a wireless sensor network with mobile sensor nodes becomes applicable. A mobile wireless sensor network (MWSN) consists of sensor nodes that may move often. Traditional localization algorithms for static sensor networks are not suitable to MWSN. MWSN applications demand new localization algorithms. In this paper, we propose an event-triggered localization algorithm which is based on RF (radio frequency) fingerprint and RSSI (received signal strength indicator) techniques. It is a distributed and low-cost localization algorithm with high accuracy. The simulations show that our proposed localization algorithm has better performance.

A Depth-Based TDMA Scheduling for Clustering Sensor Networks

As power efficiency is one of the most severe constraints in wireless sensor networks, we propose a scheduling protocol for reducing power dissipation. The protocol (DB-TDMA) is a hybrid of depth based scheduling and TDMA, which is applicable to clustering topology. Depth based scheduling is adopted for cluster heads scheduling, and TDMA is for member nodes scheduling in a cluster. DB-TDMA supports fluctuated demand in the network. It reduces the energy required for listening and receiving. Simulation results show that DB-TDMA outperforms two existing scheduling protocols both in schedule construction efficiency and schedule quality.

An Adaptive Energy-Efficient Clustering Protocol for Data Collection in Sensor Networks

There are two kinds of data collection in wireless sensor network: passive and active. We here propose an adaptive, energy-efficient clustering protocol (AEEC) which is applicable to both passive and active data collection. The proposed protocol selects cluster heads according to the rank of node remaining energy and the number of node neighbors. Unlike traditional clustering protocols, it is an adaptive re-clustering protocol. The clustering process can be done in a fixed time, independent of network size. It can achieve uniform distribution of cluster heads. Simulation results show that the performance of AEEC is better than that of LEACH and HEED in prolonging network lifetime.

A Feasible Localization Algorithm for Wireless Sensor Networks Using Directional Antenna

Recent years, directional antenna has been extensively used in designing protocols for wireless sensor networks. It provides many advantages over classical omni-directional antenna, such as increased spatial reuse ratio and reduced energy consumption. In wireless sensor networks, location estimation is necessary for sensor nodes to provide meaningful information about their surrounding environment. Numerous localization schemes using anchor nodes equipped with low gain omni-directional antenna have been proposed. Since the omni-directional antenna radiate energy in all directions, wanted signal is easily interfered with wide range of environment noise, leading to big localization error. In contrast, a directional antenna concentrates its energy in a particular direction. The reduction in interference of surrounding sensor nodes increases localization accuracy. In this paper, we tackle the problems in estimating location of randomly deployed sensor nodes with a low gain omni-directional antenna. We propose a novel localization scheme using a mobile anchor node equipped with a directional antenna. Our localization scheme is verified by OPNET simulation software. The result shows that the proposed localization algorithm has higher accuracy and energy efficiency than other localization schemes.

Low-complex energy-efficient localisation algorithm for wireless sensor networks using directional antenna

The accuracy in location estimation of ad hoc deployed sensor nodes for a wireless sensor network in the presence of noisy environment and obstacle is discussed. Considering estimation accuracy, energy efficiency and range independency, the authors propose a localisation scheme using a mobile anchor node equipped with a directional antenna. Without increasing hardware and computational complexity, sensor nodes estimate their positions using the minimum number of beacon points. Each sensor node estimates its location based on the intersection point of the greatest gain direction of directional antenna. The proposed localisation scheme is verified using OPNET simulation software. The simulation results show that the proposed scheme has higher accuracy and energy efficiency than other localisation schemes.