Enhancement and performance analysis of LEACH algorithm in IOT

In this paper the entire area is divided into clusters. Each of the clusters has a set of nodes which are spread randomly across the clusters. Cluster Head Election algorithm LEACH elects a different cluster heading each round. LEACH routing algorithm is also simulated for sending the packets for inter cluster communication and intra cluster communication between source node and destination node. Also various parameters namely End to End Delay, Number of Hops, Total Energy Consumption, Number of Alive Nodes, Number of Dead Nodes, Lifetime ratio and routing Overhead. The results are obtained from MATLAB Simulink software.

[1]  Juan C. Cuevas-Martínez,et al.  Knowledge-based duty cycle estimation in wireless sensor networks: Application for sound pressure monitoring , 2013, Appl. Soft Comput..

[2]  Lionel M. Ni,et al.  Energy consumption monitoring for sensor nodes in SNAP , 2013, Int. J. Sens. Networks.

[3]  Charalampos Tsimenidis,et al.  Performance Comparison of Optimization Algorithms for Clustering in Wireless Sensor Networks , 2007, 2007 IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems.

[4]  Azer Bestavros,et al.  SEP: A Stable Election Protocol for clustered heterogeneous wireless sensor networks , 2004 .

[5]  Uma Maheswari,et al.  Error Resilient Multipath Video Delivery on Wireless Overlay Networks , 2016 .

[6]  Phone Lin,et al.  APS: Distributed air pollution sensing system on Wireless Sensor and Robot Networks , 2012, Comput. Commun..

[7]  Cong Wang,et al.  Mobility assisted data gathering with solar irradiance awareness in heterogeneous energy replenishable wireless sensor networks , 2015, Comput. Commun..

[8]  K. Goutham Raju,et al.  Mobile Data Gathering with Load Balanced Clustering and Dual Data Uploading in Wireless Sensor Networks , 2016 .

[9]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..

[10]  Cong Wang,et al.  Mobile Data Gathering with Load Balanced Clustering and Dual Data Uploading in Wireless Sensor Networks , 2015, IEEE Transactions on Mobile Computing.

[11]  Cong Wang,et al.  Joint Mobile Data Gathering and Energy Provisioning in Wireless Rechargeable Sensor Networks , 2014, IEEE Transactions on Mobile Computing.

[12]  You-Chiun Wang Efficient Dispatch of Multi-Capability Mobile Sensors in Hybrid Wireless Sensor Networks , 2012 .

[13]  Laurence T. Yang,et al.  Mobile agent-based energy-aware and user-centric data collection in wireless sensor networks , 2014, Comput. Networks.