Wireless sensor networks are an array of different components. Upgrading a single component may not be enough. It is necessary to take each component and apply the best possible techniques to upgrade the system. This paper looks at the configurations necessary for a medical based WSN with particular focus on clustering and routing. It includes an implementation of a WSN architecture in Contiki operating system using Tmote Sky and openmote technologies. The underlying power consumption related to this architecture is analysed and real world measurements are presented. Finally， the case of a modified secure routing algorithm is introduced with simulation based results showing single and collaborative selective forwarding detection/correction， and network latency. Additionally， a solution to the problem of malicious nodes dropping control messages has been provided. The uniqueness of the paper resides in the implementation of monitoring mechanism without any watchdog nodes. Moreover， to the best of the authors' knowledge， this mechanism has not been implemented on the Contiki OS.
Patients' Behavioral Intentions toward Using WSN Based Smart Home Healthcare Systems: An Empirical Investigation
Advances in Wireless Sensor Network (WSN) have opened up new opportunities for healthcare systems. WSN based smart home healthcare systems (WSN-SHHS) represent innovations in the area of sensor technology that have promised to improve healthcare quality and to stem rising healthcare costs by facilitating effective patient-medical professional collaboration and smart information sharing， and increasing patients' health observability and remote monitoring. Most previous research on WSN-SHHS has focused on algorithm development and technical improvement. However， limited research has explored the factors influencing patients' adoption of WSN-SHHS， which are of equal importance for successful implementation of WSN-SHHS. To fill the knowledge gap， we contextualized UTAUT to the domain of WSN-SHHS. The model was tested using survey questionnaire. The empirical results confirm that performance expectancy， social influence， life quality expectancy， and cost expectancy have direct effects and effort expectancy has indirect effects on patients' behavioral intention to use WSN-SHHS. Several practical and theoretical implications of the research findings are discussed.
Energy efficiency of the protocol is one of the deciding factor while considering the efficiency of a protocol in WSN (Wireless Sensor Network). Thus， this paper presents an improved version of SEP pr
Influenza A virus is a major causative agent of respiratory diseases in humans. It causes significant morbidity， mortality and economic losses each year worldwide with about 3-5 million clinical infections per annum. Its ability to mutate rapidly leads to seasonal epidemics and with its high frequency of genetic reassortment it causes pandemics. Conventional methods of studying viral pathogenesis do not allow for monitoring viral spread in real time during an infection. Whole body bioluminescent imaging of infected animals will overcome many of the problems associated with the current methods. In this work the wild type Influenza A/WSN/33 was engineered to carry a luciferase reporter gene in segment 1， based on a well established reverse genetics system for Influenza A viruses. The novel reporter WSN virus will enable less expensive， non-invasive imaging of viral replication and better evaluation of novel therapeutics.
The potential of computer science of integrating various other branches of science with the technology of computer machine has changed the various trends in human being's life by providing the health as service too. With the development of new technology of cloud computing which have the ability to provide the software on rent allowed the cheaper medium of services to the customer. In this paper， we will make a survey of the various wheezes detection system that have been used for detecting the chronic disease like asthma. We will also make a comparative study at the end of the paper.
Live demonstration: A dynamically adaptable image processing application running in an FPGA-based WSN platform
. The virtual architecture works in a Spartan-6 FPGA included in the HiReCookie Node，  and . During the demonstration， an image taken from a video camera attached to the node will be processed in real time by several dynamically reconfigurable kernels (median filters and edge detectors) under different working conditions. The solution scope includes solutions trading off among Low Power， Dependability and High Performance Computing.
Providing reliable and timely information is one of the important tasks of wireless sensor networks. To this end， recently quality of service (QoS) satisfying end users and matching WSN constrains， has become an important research topic. However， majority of research in this area has overlooked the fact that ensuring quality of service requires a cross-layer approach spanning through all layers of the protocol stack. In this paper， we study QoS parameters and requirements in WSNs in application， data management and physical levels and analyze their cross-layer effects using simulations
The present invention provides a method for communication between gateways in Wireless Sensor Network (WSN)， comprising： in a WSN configured with a plurality of gateways， an initiating gateway determining a target gateway with which a telecommunication network communication connection is to be established; the initiating gateway and the target gateway performing authentication， after the authentication is successful， establishing the telecommunication network communication connection between the initiating gateway and the target gateway. The present invention also discloses an initiating gateway and a target gateway in a WSN. Via solutions of the present invention， the increase of loads of the WSN caused by communication between gateways inside the WSN can be avoided， and the security of communication between gateways is guaranteed.
ABSTRACT This paper investigates an enhanced WSN based monitoring system for elderly people in geriatric facilities. Apart from general physical monitoring functionalities， we explore the potential of using a wireless audio module to perform mental health monitoring. The telephone version of the mini mental status examination (T-MMSE) was adopted in the mental health monitoring and the RSSI (Received Signal Strength Indicator) localization algorithm was implemented in this system to track elderly people's the real-time location and send alerts based on their inactivity/activity levels， movement history and entry into restricted zones. Experimental test was performed to evaluate the performance of the proposed system. With results obtained and studied， this work can be extended to perform detection and rehabilitation function for elderly people with mental illness. This kind of monitoring system would be expected to make an important impact on many application scenarios for geriatric facilities.
Download pdf article of Improvement in Lifetime of WSN Using Network Coding and Duty Cycle written by Ms. Devyani Dabhade， Dr. A. B. Nandgaonkar