Energy Consumption in Wireless Sensor Network

Energy is a limited resource in wireless sensor networks. In fact, the reduction of power consumption is crucial to increase the lifetime of low power sensor networks. Wireless sensor networks consist of small, autonomous devices with wireless networking capabilities. In order to further increase the applicability in real world applications, minimizing power consumption is one of the most critical issues. Therefore, accurate power model is required for the evaluation of wireless sensor networks. To estimate the lifetime of sensor node, the energy characteristics of sensor node are measured. Research in this area has been growing in the past few years given the wide range of applications that can benefit from such a technology. Based on the proposed model, the estimated lifetime of a battery powered sensor node can be increased significantly. Keywords—Sensor, Wireless Sensor Network, Energy Consumptio

The Sleep Control Strategy for Wireless Sensor Networks

[[abstract]]The sensor node in a wireless sensor network has the characteristics of low power consumption and a non-rechargeable sensor node. Therefore, power consumption is limited. Effectively controlling the power of the sensor node and extending the life time of the whole network become very important issues. In this paper, we offer the optimal sleep control for wireless sensor networks: randomly setting the sensor nodes in the entire network and determining the sleeping probability by the distance between the sensor node and sink. This method reduces the transmission frequency of the sensor nodes that are closer to the sink and effectively reaches the network's loading balance. However, the sensor nodes process their sleeping schedules according to their own residual power to save energy.[[notice]]補正完畢[[journaltype]]國外[[incitationindex]]EI[[ispeerreviewed]]Y[[booktype]]紙本[[countrycodes]]KO

Equalized Cluster Head Election Routing Protocol for WSNs

In recent years, the growing interest in the WIRELESS SENSOR NETWORK (WISENET) is increases. Wireless Sensor Network is an emerging technology that promises a wide range of potential applications in both civilian and military areas. A sensor network consists of multiple detection stations called sensor nodes, each of which is small, lightweight and portable. Every sensor node is equipped with a Sensing Unit, Data Processing Unit, transceiver and power source. The development of WSNs largely depends on the availability of low-cost and low-power hardware and software platforms for sensor networks. Equalized Cluster Head Election Routing Protocol (ECHERP), pursues energy conservation through balanced clustering for Energy Efficiency

A Suitable MAC Protocol for Transmit-Only Sensor Nodes in a Housing Community Wireless Network

This paper investigates the development of a suitable Medium Access Control (MAC) protocol for a housing community wireless network that consists of both wireless infrastructural mesh nodes and wireless sensor nodes. In this network, transmit-only sensor nodes are employed in order to obtain a low cost, easy to deploy and low power solution. However, such sensor nodes have no way of verifying successful data transfer and it is, therefore, imperative that the associated MAC protocol provides a high level of confidence for transferring this data. In this paper, we examine methods of packaging and transmitting sensor node data in order to obtain such a MAC protocol for the aforementioned housing community wireless network. Microchipâs rfPIC is used as the platform for the sensor node. Some preliminary analysis and results are presented within

A Suitable MAC Protocol for Transmit-Only Sensor Nodes in a Housing Community Wireless Network

This paper investigates the development of a suitable Medium Access Control (MAC) protocol for a housing community wireless network that consists of both wireless infrastructural mesh nodes and wireless sensor nodes. In this network, transmit-only sensor nodes are employed in order to obtain a low cost, easy to deploy and low power solution. However, such sensor nodes have no way of verifying successful data transfer and it is, therefore, imperative that the associated MAC protocol provides a high level of confidence for transferring this data. In this paper, we examine methods of packaging and transmitting sensor node data in order to obtain such a MAC protocol for the aforementioned housing community wireless network. Microchipâs rfPIC is used as the platform for the sensor node. Some preliminary analysis and results are presented within

SIR: A New Wireless Sensor Network Routing Protocol Based on Artificial Intelligence

Currently, Wireless Sensor Networks (WSNs) are formed by hundreds of low energy and low cost micro-electro-mechanical systems. Routing and low power consumption have become important research issues to interconnect this kind of networks. However, conventional Quality of Service routing models, are not suitable for ad hoc sensor networks, due to the dynamic nature of such systems. This paper introduces a new QoS-driven routing algorithm, named SIR: Sensor Intelligence Routing. We have designed an artificial neural network based on Kohonen self organizing features map. Every node implements this artificial neural network forming a distributed intelligence and ubiquitous computing system

The Optimal Sleep Control for Wireless Sensor Networks

[[abstract]]The sensor node in Wireless Sensor Network is with the characteristics of low power consumption, but the sensor node can't be rechargeable. Therefore, the consumed of power is limited. How to effectively control the power of the sensor node and extend the life time of the whole network become a very important issue. This paper sets forth "The Optimal Sleep Control For Wireless Sensor Networks ". When the sensor nodes are set randomly in the entire network and the sleeping probability is determined through the distance between the sensor node and the sink. This method will effectively reduce the frequency of the transmission of the sensor nodes more close to the sink and reach the loading balance of the whole network. However, the sleeping sensor nodes will process their sleeping schedule according to their own residual power and achieve the effectiveness of saving power.[[sponsorship]]IEEE Taipei Section; National Science Council; Ministry of Education; Tamkang University; Asia University; Providence University; The University of Aizu; Lanzhou University[[conferencetype]]國內[[conferencetkucampus]]淡水校園[[conferencedate]]20091203~20091205[[booktype]]紙本[[iscallforpapers]]Y[[conferencelocation]]Taipei, Taiwa

Development of an integrated low-power RF partial discharge detector

This paper presents the results from integrating a low-power partial discharge detector with a wireless sensor node designed for operating as part of an IEEE 802.15.4 sensor network, and applying an on-line classifier capable of classifying partial discharges in real-time. Such a system is of benefit to monitoring engineers as it provides a means to exploit the RF technique using a low-cost device while circumventing the need for any additional cabling associated with new condition monitoring systems. The detector uses a frequency-based technique to differentiate between multiple defects, and has been integrated with a SunSPOT wireless sensor node hosting an agent-based monitoring platform, which includes a data capture agent and rule induction agent trained using experimental data. The results of laboratory system verification are discussed, and the requirements for a fully robust and flexible system are outlined