Evaluation of Various AD HOC Networking Algorithms

As a wireless sensor network (WSN) monitors environmental or physical factors such as temperature, sound, pressure, etc., its spatially distributed autonomous sensors cooperate to convey their data to a central location. The bi-directional nature of the more modern networks also enables control of sensor activity. Wireless sensor networks, which are currently used in many consumer and commercial applications, such as machine health monitoring, industrial process monitoring and control, and more, were developed in response to military uses like battlefield surveillance. The WSN is composed of "nodes" that are connected to one or more sensors. These "nodes" might be as few as a handful, hundreds, or even thousands. Each of these sensor network nodes typically consists of a radio transceiver with an internal antenna or a connection to an external antenna, a microcontroller, an electrical circuit for communicating with the sensors, and an energy source, either an embedded energy harvesting device or a battery. While there are yet no working "motes" of such small size, a sensor node can be as small as a shoebox or as little as a dust particle. The cost of sensor nodes can range from a few to hundreds of dollars, depending on how complicated each one is. Similar restrictions on energy, memory, processing performance, and communications capacity result from sensor node size and cost constraints. Basic star networks and complex multi-hop wireless mesh networks are examples of WSN topologies. To solve the problems with wireless sensor networks (WSNs), we will develop an energy-efficient algorithm using a layered chain approach. These networks ought not to be diversified or mobile.