A Cluster–based Approach for Minimizing Energy Consumption by Reducing Travel Time of Mobile Element in WSN

Abstract

Envoy Node Identification (ENI) and Halting Location Identifier (HLI) algorithms have been developed to reduce the travel time of Mobile Element (ME) by determining Optimal Path(OP) in Wireless Sensor Networks. Data generated by cluster members will be aggregated at the Cluster Head (CH) identified by ENI for onward transmission to the ME and it likewise decides an ideal path for ME by interfacing all CH/Envoy Nodes (EN). In order to reduce the tour length (TL) further HLI determines finest number of Halting Locations that cover all ENs by taking transmission range of CH/ENs into consideration. Impact of ENI and HLI on energy consumption and travel time of ME have been examined through simulations.

A Hotspot Discovery Method Based on Improved FIHC Clustering Algorithm

“…Fan et al, and Li et al, respectively, improved the single-Pass clustering algorithm, solved the problems of the original algorithm, and effectively improved the discovery efficiency of microblog hotspot [4,5]. Yi et al, and some other scholars used different clustering algorithms and simulation mathematical models, such as firefly clustering algorithm, OLDA model, SEPPM model, impulse time series behavior dynamic model, to discover and simulate the network hot events, and got some results [6][7][8][9][10][11][12][13][14][15][16][17][18].…”