The wireless sensor networks consist of hundreds of inexpensive wireless nodes, each with some computational power and sensing capability, operational power and sensing capability, operating in an unattended mode. Clustering is an efficient approach to capitalize the energy of energy constraint sensor nodes in wireless sensor networks (WSNs). Low Energy Adaptive Clustering Hierarchy (LEACH) is ...

Wireless sensor networks (WSNs) consist of a large number of low-cost and low-power sensor nodes. Some of the applications of sensor networks are environmental observation, monitoring disaster areas and so on. Distributed evolutionary computing is a poweful tool that can be applied to WSNs, because these networks require algorithms that are capable of learning independent of the operation of ot...

Wireless sensor networks (WSNs) are quickly gaining popularity because they are potentially low-cost solutions that can be used in a variety of application areas. However, they are highly susceptible to attacks and it is very probable that an intruder catches already existing security measures out. AWISSENET (Ad-hoc personal area network & WIreless Sensor SEcure NETwork) is a project funded by ...

Wireless sensor networks (WSNs) are networks composed of small, resource-constrained and collaborative devices. WSNs are used in a plethora of domains including environmental and agricultural monitoring, military operations, in the health care field and in building automation. The three main functions of wireless sensor nodes (also called motes) are to sense the environment, perform computation...

With recent advances in wireless sensor networks and embedded computing technologies, miniaturized pervasive health monitoring devices have become practically feasible. Due to advancement in technology a low-power networked systems and medical sensors are merged as wireless sensor networks (WSNs) in healthcare. These WSNs carry the promise of drastically improving and expanding the quality of c...

Recent advances in micro electro mechanical systems (MEMS), wireless communication, and network technology, wireless sensor networks (WSNs) have become technically and economically feasible. In most case, WSNs are usually applied to many applications that require unattended operation. However unlike traditional networks, WSNs are resource constrained distributed networks. The delay latency, unc...

Wireless Sensor Networks (WSNs) enable many vital applications ranging from environmental monitoring to human health control. Main research efforts in the WSNs focused on minimizing energy consumption because wireless sensor nodes are mostly powered by batteries which are usually hard to replace. Recent research on long-lasting WSNs is proposing energy harvesters combined with rechargeable batt...

Wireless Sensor Networks (WSNs) have experienced an amazing evolution during the last decade. Compared with other wired or wireless networks, wireless sensor networks extend the range of data collection and make it possible for us to get information from every corner of the world. The chapter begins with an introduction to WSNs and their applications. The chapter recognizes event detection as a...

Wireless Sensor Networks (WSNs) are consist of independent distributed sensors with storing, processing, sensing and communication capabilities to monitor physical or environmental conditions. There are number of challenges in WSNs because of limitation of battery power, communications, computation and storage space. In the recent years, computational intelligence approaches such as evolutionar...

Wireless sensor networks (WSNs) depends on their reliable operation for extended times without human intervention. Wireless and ad-hoc deployment, which is essential in some scenarios and costeffective in others, prevents the use of a wired energy infrastructure. Wireless Sensor Networks usually battery powered, thus energy-constrained, present energy efficiency as the main challenge. Usually i...