detecting anomalies is an important challenge for intrusion detection and fault diagnosis in wireless sensor networks (wsns). to address the problem of outlier detection in wireless sensor networks, in this paper we present a pca-based centralized approach and a dpca-based distributed energy-efficient approach for detecting outliers in sensed data in a wsn. the outliers in sensed data can be ca...

A vision commonly found in the research arena is to provide sensing and wireless communication for assisted living facilities, to improve lifestyle, to improve health care, and to support long term medical studies. Nowadays, Wireless Sensor Network research is being performed to address medical applications. WSN has put an enormous impact on medical healthcare in terms of reducing the patient’s...

in recent years wireless sensor networks have attracted researchers' attention due to vast applications. one of the most prominent issues regarding these networks is coverage which is considered as a quality of service parameter. in this study, we try to address energy shortage in wsns through finding a set of optimal coverage nodes in a specific environment. this is performed utilizing effecti...

Wireless sensor networks are catching up as the primary mode for monitoring and collecting data in physically challenging environments. They find applications in various fields varying from environment monitoring, military applications to monitoring patients in hospitals. The low cost, ad hoc deployment, distributed sensing, and adaptability of wireless sensors have given them a big advantage o...

energy consumption is considered as a critical issue in wireless sensor networks (wsns). batteries of sensor nodes have limited power supply which in turn limits services and applications that can be supported by them. an efcient solution to improve energy consumption and even trafc in wsns is data aggregation (da) that can reduce the number of transmissions. two main challenges for da are: (i)...

A wireless body sensor network (WBSN) is a typically wearable wireless network deployed on a user’ body, which consists of biosensors and a local personal wireless hub, which we commonly call wireless body sensor network controller (WBSNC). The sensitive micro data (SMD) of WBSN users is collected by biosensors and forwarded to the WBSNC before it is delivered to the data process center (health...

The wireless body area network is the other type of network which is used to sense the body conditions. In the wireless body area network, seven sensors are used with sense the whole human body conditions. These sensors sense the conditions and pass information to the transmitter. The main problem which occurred in the wireless body area network is FAULT. To recover fault ARP scheme is used. In...

wireless sensor networks (wsns) arebecoming increasingly popular, and very useful in militaryapplications and environmental monitoring. however,security is a major challenge for wsns because they areusually setup in unprotected environments. our goal in thisstudy is to simulate an intrusion detection system (ids)that monitors the wsn and report intrusions accurately andeffectively. we have thus...

Wireless Sensor Networks (WSN) is one of the accelerated technologies which consign solutions to critical application environments. It allows the integration of medical sensors to form a group scenario which makes it viable to remotely collect and communicate the physiological signals of a patient, thus preventing the patient from being tied to a particular set of monitoring medical instruments...

A novel, fully-autonomous, wearable, wireless sensor network is presented, where each flexible textile node performs cooperative synchronous acquisition and distributed event detection. Computationally efficient situational-awareness algorithms are implemented on the low-power microcontroller present on each flexible node. The detected events are wirelessly transmitted to a base station, direct...