Energy is the major constraint in Wireless Sensor Networks (WSNs). The mobile sinks are used to reduce the energy consumption of nodes and to prevent the formation of energy holes in WSNs. Depending on the path taken by the mobile sink, particularly in delay-sensitive applications; data sensed must be collected within a given time period. Few approaches used for this challenge is Rendezvous Point (RPs), Weighted Rendezvous Planning (WRP). These approaches lead to problems in identifying the optimal tour path and balancing the energy consumption of sensor nodes to avoid the formation of energy holes. To overcome this drawback, Dynamic Routing Method is proposed. In this approach, if there is energy drop in RPs, then that particular RP is removed from cluster head and another nearby node which contains a high amount of energy is designated as RP, by which we can improve the lifetime of the network, Efficient data forwarding, and delay is reduced. Network simulator version 2 is used for simulation; simulation is done with WRP existing versus Dynamic Routing Method proposed. In the proposed system, energy consumption is constant throughout the data transfer whereas existing work energy level found to be varying. Packet delay is reduced by 30 percentage in the proposed system with throughput being high and constant. High energy first algorithm is used in the proposed system to select the cluster head. Here the cluster head is selected dynamically, so the Cluster Head (CH) failure is avoided here thereby overcoming all the disadvantages of the existing system. In future work, we are going to save the energy of the individual node by sleep/active nodes. To active the node, we are going to use a handshaking process as well as to sleep. In case, any node needs to send data to base station then sender and receiver should be in active mode, remaining nodes can go to sleep.

Abstract-We describe the design of a flood warning system which uses a set of sensor nodes to collect readings of water level and a grid-based flood predictor model developed by environmental experts to make flood predictions based on the readings. The reporting frequency of sensor nodes is required to be adaptive to local conditions as well as the flood predictor model to optimize battery consumption. We therefore propose an energy aware routing protocol which allows sensor nodes to consume energy according to this need. This system is notable both for the adaptive sampling regime and the methodology adopted in the design of the adaptive behavior, which involved development of simulation tools and close collaboration with environmental experts.