Energy Efficient Multipath Routing in Wireless Sensor Networks

Abstract

Wireless Sensor Networks (WSNs) are subject to node failures because of energy constraints. The most important feature of a routing protocol, in order to be efficient for WSNs, is the energy consumption and the extension of the network’s lifetime. Sensor webs containing of nodes with restricted battery power and wireless communications are organized to collect beneficial material from the field. Gathering sensed information in an energy efficient manner is dangerous to operate the sensor network for an extensive period of time. In a data collection problematic is defined where, in a round of message, each sensor node has a container to be sent to the unfriendly base station. If each node conveys its sensed data straight to the base station then it will deplete its power speedily. Wireless sensor network is turning into a dynamically imperative and testing investigation territory. Progress in WSN empowers an extensive variety of natural observing and item following framework. Routing is a very important aspect in terms of wireless sensor networks. Routing stands for the sending the required data to the destination in such a manner that it reaches efficiently with high throughput and accuracy. The data is transporting over the network each sensor use some energy in receiving data, sending data. The life of the network is contingent how much energy used up in each transmission. The problem occurs when the transmission path meets with some sort of failure like path failure or node goes to sleep mode. The focus, however, has been given to the routing protocols which might change contingent on the application and network architecture. In this project, we have proposed the state-of-the-art routing technique using PEGASIS protocol to choose an alternative path in WSNs. It forms a chain that makes the path more even-distributed and the total square of transmission distance much less. Moreover, in the constructing process, the energy factor has been taken into explanation, which carries about a balance of energy consumption between nodes. In each round of transmission, according to the current energy of each node, a leader is selected to directly communicate with the base station and the evaluated PEGASIS protocol with greedy algorithm result in terms of parameters such as dead nodes and throughput.