In Wireless Sensor Networks mobile sinks help in balancing the network and reduce energy consumption in addition to solving hotspot issues. These benefits of a mobile sink depend on the path of the mobile sink. Specifically, in critical applications such as fire detection data needs to be collected with minimum delay. In such systems, the number of Rendezvous Points are minimized to satisfy the shortest path criteria, which in turn burdens the selected Rendezvous Points and depletes their energy. An efficient mobile sink path with minimum delay is proposed considering node densities. An additional set of Rendezvous Points are formed by selecting nodes with minimum distance without increasing the path length of the mobile sink. Further, an effective method for the detection and recovery of uncovered nodes due to the failure of Rendezvous Points is proposed. Simulations are performed and the results are compared with existing methods in terms of energy consumption, network lifetime, fault tolerance, etc. The results imply the effectiveness of the proposed method.
wireless sensors are used in ample number of applications for sensing different data. They are used in environmental monitoring or event based, but applications requiring both are not very familiar. These kinds of applications require data to be delivered based on the deadline. Such hybrid systems are considered and a method feasible for both is proposed in this paper. Sensors are grouped into clusters and group heads are selected based on some parameters which will help to save energy, balance the network as well as extend the lifetime. The sensors collect data and send to group heads using TDMA and data is collected by mobile sink time slots are allotted for time sensitive event data. The proposed technique is implemented in NS2 and compared with existing algorithms in terms of lifetime, delay etc. The proposed procedure has 15% more lifetime than previous methods
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