Enhanced Density Grid-based Clustering by using LZW and ABC for Efficient Routing in WSN | Zendy

Rimpy Sharma | Zendy; Shivani Shamra | Zendy

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Enhanced Density Grid-based Clustering by using LZW and ABC for Efficient Routing in WSN

Author(s) -

Rimpy Sharma,

Shivani Shamra

Publication year - 2017

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/ijca2017913743

Subject(s) - computer science , cluster analysis , grid , routing (electronic design automation) , routing algorithm , computer network , data mining , distributed computing , artificial intelligence , routing protocol , geology , geodesy

Any Wireless Sensor Network (WSN) includes extensive number of smaller sensor hubs having obliged computation potential, negligible memory, confined electric power, and limited combination imparting gadget. In this paper the the comparison will be drawn between the density grid-based algorithm and enhanced density grid-based algorithm. After using two approaches on the density grid-based algorithm (I) LZW(lempel-zivwelch)comparison technique and (II) ABC optimization technique for efficient routing for the wireless sensor network. The improved result are shown by using some parameters.

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