Energy and converge optimization at disaster situation using Mobile sink in Wireless sensor network


  • Prof. Bhaumik Machhi omputer Science & Engineering, SLTIET




In this position paper we address key challenges in the deployment of wireless sensor networks (WSNs) with
mobile sinks for large-scale, continuous monitoring. Each sensor node is a low-power and constrained device, generally
composed by: a processor with limited processing power; a restricted quantity of memory; a sensor board, which may
contain different kinds of sensor data acquisition devices; a battery, which provides power for the sensor node work and a
radio that allows wireless communication. the main aim of these researches is to extend the network lifetime, since, in the
operational environment, to charge or to exchange the sensor nodes' batteries is probably an impossible/unfeasible
activity. we have also present algorithms that address some of the problems that arise in this field and compare that
methods. Disasters management and emergency services used to protect a person or society from the cost of disasters.
Timely report and responses are especially important for reducing the number of sufferers and damages from incidents.
In such cases, the communication structure that may not function well. This makes it hard to gain information about the
incident, and then to respond to the incident rapidly and properly. Sensor networks can provide a good solution to these
problems through actively monitoring and well-timed reporting emergency incidents to base station. Our objective on
this topic aim to study different sensor network protocols to resolve some key technical problems in this area, thus
identify the energy efficient wireless sensor network architecture for significant improvement of disaster management .
We propose an opportunistic routing scheme for increasing battery life in wireless sensor networks operating in volatile



How to Cite

Prof. Bhaumik Machhi. (2016). Energy and converge optimization at disaster situation using Mobile sink in Wireless sensor network. International Journal of Advance Research in Engineering, Science & Technology, 3(13), -. Retrieved from