Abstract
In Wireless Sensor Network, network lifetime greatly depends upon the energy consumption of the sensor nodes. Data aggregation and collection is considered as an important and necessary to save the energy and to prolong the network lifetime. In the existing system, Single Mobile Sink Node was used for receiving the data from the Cluster Head (CH). In the proposed system, Multiple Mobile Sink Nodes are considered for receiving data from the Cluster Head and transmit it to the Base Station (BS). Single CH is generated for each Cluster in random manner by using K-Means Algorithm. The Mobile Sink Node visits the CH as hostile and collect the data’s from the allocated CH. The sensor nodes present in the cluster transmits the data to the CH in a Single-Hop fashion. The node consists of energy for routing process. Due to the routing process the energy can drain quickly and the CH can also drain energy at this stage, the node with the highest energy can be selected using Energy Aware Routing Protocol. This process can run continuously and randomly the CH can be changed and the CH does not remain constant. By using the Energy Aware Routing Protocol (ERP) increase the network lifetime and minimize the energy consumption when compared with the existing system. To stimulate the environment using MATLAB and the stimulation results verify the effectiveness of our method
References
1. Gedik B., Liu L. and Yu P. S.(2007), ‘ASAP: An adaptive sampling approach to data collection insensor networks’, IEEE Trans. Parallel Distrib.Syst.,vol. 18, no. 12, pp. 1766–1783.
2. Karenos K. and Kalogeraki V. (2010), ‘Traffic Management in Sensor Networks with a Mobile Sink’, IEEE Trans. Parallel and Distributed Systems, vol. 21, no. 10, pp. 1515-1530.
3. Konstantopoulos C., Pantziou G., GavalasD.,Mpitziopoulos A. and Mamalis B. (2012), ‘Arendezvous-based approach enabling energy-efficient sensory data collection with mobile sinks’, IEEE Trans. Parallel Distrib.Syst., vol. 23, no. 5, pp. 809–817.
4. Lee E., Park S., Yu F. and Kim S.-H. (2010),‘Data gathering mechanism with local sink in geographic routing for wireless sensor networks’,IEEE Trans. Consum.Electron., vol. 56, no. 3, pp.1433–1441.
5. Liu C., Wu K. and Pei J. (2007), ‘An energy efficient data collection framework for wireles ssensor networks by exploiting spatio temporal correlation’, IEEE Trans. Parallel Distrib.Syst., vol.18, no. 7, pp. 1010–1023.
6. Ma M. and Yang Y. (2007), ‘SenCar: An energy efficient data gathering mechanism for large-scale multihop sensor networks’, IEEE Trans. Parallel
Distrib.Syst., vol. 18, no. 10, pp. 1476–1488.
7. Ma M., Yang Y. and Zhao M. (2013), ‘Tour planning for mobile data gathering mechanisms in wireless sensor networks’, IEEE Trans. Veh.Technol., vol. 62, no. 4, pp. 1472–1483.
8. Tang S., Yuan J., Li X., Liu Y., Chen G., GuM.,Zhao J. and Dai G. (2010), ‘DAWN: Energy efficient data aggregation in WSN with mobile sinks’, in Proc. IWQoS, pp. 1–9.
9. Tang X. and Xu J. (2008), ‘Adaptive data collection strategies for lifetime-constrained wireles ssensor networks’, IEEE Trans. Parallel Distrib. Syst., vol. 19, no. 6, pp. 721–7314.
10. Xu K., Hassanein H., Takahara G. and Wang Q.(2010), ‘Relay node deployment strategies in heterogeneous wireless sensor networks’, IEEETrans. Mobile Comput., vol. 9, no. 2, pp. 145–15.