Abstract:
In wireless sensor network (WSN), the sensor nodes should communicate each other to
exchange data. Communication protocols of WSN plays significant role on energy
dissipation of the sensor network. Since sensor network consumed more energy in static
sinks than mobile sinks during transmission and reception. Designing energy efficient
routing protocol for mobile WSN plays an important role on energy saving of the sensor
networks. The communication of sensor nodes with mobile sink can be multihop or
directly uploads the data to the base station. Since, in static sink the node close the sink
consume more energy, because there is traffic overhead to forwarded data on behalf of
the nodes far apart of sensor nodes.
This study address the problems of energy consumption a mobile sink data gathering of
sensor network, problems of synchronization among the sensor nodes and mobile sink,
data delivery delay due some obstacle in the network, data redundancy and more energy
consumption during routing of data to the destination.
Therefore this study is concentrated on energy efficient synchronization based prediction
routing algorithms in WSN for mobile sinks is designed to minimize energy expenditure
and improve life time the network. In addition to that distribute the traffic load among
the nodes of the entire network based on synchronization, clustering and prediction
routing algorithm methods are used to route the data from the source to the destination.
The radio signal strength indicator used for clustering of the sensor nodes in to groups
based on their received signal from the mobile sinks. This routing algorithm uses
localization of the mobile sinks to enable scalability and robustness of the network and
reduce the energy wastage of the network and prolong the life time of the network.
Therefore the experiment was conducted in Castalia simulator which is built on top of
OMNET++ framework to check the performance of our proposed model over the existing
routing algorithm in large scale area network. The simulation result shows that our
proposed routing algorithm has better performance in reducing energy consumption and
prolongs life time of the network.
