The wireless sensor network is used to solve problems in real world such as industrial and environmental Sensing. There are two types of Wireless Sensor Network, Mobile and Static. They are the Wireless Sensor Network are prone to attacks. The most prominent attack in Wireless Sensor Network is node replication attack were the nodes are replicated virtually. The replicated node captures the key...

A wireless network is a type of network where various physical devices (e. g. computer, laptops, PDAs etc) are interconnected with each other using network infrastructure. Owing to wireless medium of data communication, the security risk is potentially high for unauthorized access and intrusion of various malicious programs. The security protocols of wireless network are governed by family of I...

underwater acoustic wireless sensor network (uawsn) use acoustic signalsto transmit data. acoustic signals in underwater environment have high bit errorrate, long propagation delay and limited bandwidth. another constraint in uwasnis energy. due to these constraints, design of energy and bandwidth efficient andpropagation delay aware mac protocol is a great challenge in uwasn.underwater sensor ...

Ubiquitous computing requires the next evolutionary technology based on wireless sensor network. Each sensor node comprising the network has many constraints, such as poor processing ability, low data rates, short transmission range, and limited available energy, etc. Therefore, wireless sensor network should be designed to overcome these limitations. In this paper, we suggest collaborative sig...

Abstract The wireless sensor network, WSN, is a promising technology to make our social life better. However, the maintenance of battery attached each node avoids WSN widely be used. zero standby-power (ZSSN) extends by eliminating standby power, but they impose high cost and burdens because has its own module. This paper proposes wired-wireless hierarchical network consisting small group ZPSNs...

In structural health monitoring (SHM) and control, the structure can be instrumented with a redundant sensor network, which can be utilized in sensor fault diagnosis. In this study, the objective is to detect, identify, and quantify a sensor fault using the structural response data from the sensor network. Seven different sensor fault types are investigated and modelled: bias, gain, drifting, p...