Prolong Lifespan of Wireless Sensor Network with Optimized Information Compression Algorithm and Magnetic Resonant Concept

Remote sensor systems maintain numerous applications in various fields. Sparing vitality in such systems is continuously a basic issue that should be considered to delay the network lifespan. Bunching in the systems is additionally considered as a vitality sparing directing strategy. This manuscript, propose the two technique by which the vitality problem of a remote sensor can be resolved. In first Strategy, with the help of wireless power transfer recharge all the node of the network and in the second strategy a new information gathering strategy, called firmness technique, keeping in mind the end goal to altogether diminish information transmitting among grouped systems for vitality sparing reason. In the strategy, Wavelet essential is utilized in each group to pack information to be sent to the base-station (BS). At the BS, all the detecting information can be remade in light of the compacted tests gathered from groups. We additionally investigate what’s more, plan the aggregate vitality utilization for information transmitting between sensors in the systems and from the systems to the BS. Reproduction comes about are given to illuminate our examination and to propose ideal cases for the system to expend the slightest control. In this manuscript, new proposed technique shows the results with various performance parameters like, power consumption, network lifespan in Inter and Intra transmissions. Keywords—power consumption; LEACH; base Station; vitality

[1]  Manish Bhardwaj Selection of efficient relay for energy-efficient cooperative ad hoc networks , 2015 .

[2]  Sotiris Nikoletseas,et al.  An experimental evaluation of wireless power transfer protocols in mobile ad hoc networks , 2015, 2015 IEEE Wireless Power Transfer Conference (WPTC).

[3]  Seon-Ho Park,et al.  CHEF: Cluster Head Election mechanism using Fuzzy logic in Wireless Sensor Networks , 2008, 2008 10th International Conference on Advanced Communication Technology.

[4]  Sotiris E. Nikoletseas,et al.  Interactive Wireless Charging for Energy Balance , 2016, 2016 IEEE 36th International Conference on Distributed Computing Systems (ICDCS).

[5]  S. Manesis,et al.  A Survey of Applications of Wireless Sensors and Wireless Sensor Networks , 2005, Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation Intelligent Control, 2005..

[6]  Chang Won Jung,et al.  Analysis of WPT system using rearranged indirect-fed method for mobile applications , 2015, 2015 IEEE Wireless Power Transfer Conference (WPTC).

[7]  Jong-Wook Jang,et al.  AODV based Energy Efficient Routing Protocol for Maximum Lifetime in MANET , 2006, Advanced Int'l Conference on Telecommunications and Int'l Conference on Internet and Web Applications and Services (AICT-ICIW'06).

[8]  Tao Jiang,et al.  Energy Efficient On-Demand Multipath Routing Protocol for Multi-Hop Ad Hoc Networks , 2008, 2008 IEEE 10th International Symposium on Spread Spectrum Techniques and Applications.

[9]  Jan M. Rabaey,et al.  Energy aware routing for low energy ad hoc sensor networks , 2002, 2002 IEEE Wireless Communications and Networking Conference Record. WCNC 2002 (Cat. No.02TH8609).

[10]  Manish Bhardwaj,et al.  Optimum Experimental Results of AODV, DSDV & DSR Routing Protocol in Grid Environment , 2015 .

[11]  M. Bhardwaj,et al.  Power Management of Ad Hoc Routing Protocols Using Mobility Impact and Magnetic Resonance , 2015 .

[12]  Manish Bhardwaj,et al.  Enhance Life Time of Mobile Ad-hoc Network Using WiTriCity and Backpressure Technique , 2015 .