Enhanced APTC Technique for Energy-Efficient and Reliable Wireless Communications

APTC is articulation points based topology control, keeps various sensor nodes in randomly distributed way. Each sensor node sends the data from itself to the sink node. For sending the data considers various intermediate node as relay node. Articulation points based topology control helps in controlling the topology. So that minimum number of relay node can be used. In result will waste less energy compared to the other. In enhanced APTC based solution multiple mobile sensor nodes are being kept. These multiple sink node further control the topology, by reducing the number of intermediate relay nodes. Enhanced APTC based technique put multiple sink nodes moves at constant speed. So that the sensor node will transmit the collected data to the nearer sink node. All the parameters like MAC load, Hop Count, Data Transmitted, Residual Energy has shown the improvement. So that enhanced APTC based technique performs better than the APTC based Technique.

[1]  Lianglun Cheng,et al.  A Study of Mobile Agent Tree Routes for Data Fusion in WSN , 2009, 2009 WRI International Conference on Communications and Mobile Computing.

[2]  Ben Liu Optimization of hierarchical data fusion in Wireless Sensor Networks , 2016, 2016 6th International Conference on Electronics Information and Emergency Communication (ICEIEC).

[3]  Xia Li,et al.  WSN data fusion approach based on improved BP algorithm and clustering protocol , 2015, The 27th Chinese Control and Decision Conference (2015 CCDC).

[4]  Weiming Shen,et al.  Localization in cooperative Wireless Sensor Networks: A review , 2009, 2009 13th International Conference on Computer Supported Cooperative Work in Design.

[5]  Weifa Liang,et al.  Mobile Base Station and Clustering to Maximize Network Lifetime in Wireless Sensor Networks , 2012, J. Electr. Comput. Eng..

[6]  Subramaniam Shamala,et al.  Multi-mobile agent itinerary planning algorithms for data gathering in wireless sensor networks: A review paper , 2017, Int. J. Distributed Sens. Networks.

[7]  S. Sitharama Iyengar,et al.  On computing mobile agent routes for data fusion in distributed sensor networks , 2004, IEEE Transactions on Knowledge and Data Engineering.

[8]  Ohm Sornil,et al.  Issues of Implementing Random Walk and Gossip Based Resource Discovery Protocols in P2P MANETs & Suggestions for Improvement☆ , 2015 .

[9]  Jin-Gang Cao A data fusion routing algorithm in wireless sensor network based on mobile agent , 2013, 2013 International Conference on Machine Learning and Cybernetics.

[10]  S. G. Santhi,et al.  Clustering based Data Collection using Data Fusion in Wireless Sensor Networks , 2015 .

[11]  Rakhee,et al.  Cluster Based Energy Efficient Routing Protocol Using ANT Colony Optimization and Breadth First Search , 2016 .

[12]  José Luis Sevillano,et al.  Energy efficient wireless sensor network communications based on computational intelligent data fusion for environmental monitoring , 2012, IET Commun..

[13]  S. P. Ghrera,et al.  Fault tolerance based routing approach for WMN , 2015, 2015 International Conference on Computer and Computational Sciences (ICCCS).

[14]  M. Yousefikhoshbakht,et al.  Modification of the Ant Colony Optimization for Solving the Multiple Traveling Salesman Problem , 2013 .

[15]  Xiaohua Jia,et al.  Exploiting Data Fusion to Improve the Coverage of Wireless Sensor Networks , 2012, IEEE/ACM Transactions on Networking.

[16]  Rong Peng,et al.  Angle of Arrival Localization for Wireless Sensor Networks , 2006, 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks.

[17]  Wing-Kin Ma,et al.  Received signal strength based mobile positioning via constrained weighted least squares , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..