Distance Distribution Approach of Minimizing Energy Consumption in Grid Wireless Sensor Network
Ketki Ram Bhakare1, R.K.Krishna2, Samiksha Bhakare3
1MS. KETKI RAM BHAKARE, Department of Computer Science & Engg., RCERT ,Chandrapur., Maharashtra., India.
2PROF. R. K. KRISHNA, Electronics Engineering Departmnt, RCERT, Chandrapur., Maharashtra. India.
3MS. SAMIKSHA BHAKARE,MCA, Department, Dighori Nagpur, Maharashtra, India.
Manuscript received on May 17, 2012. | Revised Manuscript received on June 25, 2012. | Manuscript published on June 30, 2012. | PP: 375-380 | Volume-1 Issue-5, June 2012. | Retrieval Number: E0548061512/2012©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A wireless Sensor Network (WSN) is a wireless network consisting of several tiny sensing nodes. Wireless Sensor Network (WSN) is an emerging technology. It is predicted that in future, WSN will change the human life totally. Energy minimization in Wireless Sensor Network (WSN)is one of the challenging issue. The sensor nodes are continuously sense and transmit the data. WSN have a wireless nature, due to this has a limited lifetime. So increase the lifetime of Wireless Sensor Network and Minimize energy cost in wireless sensor network are an important problem. To solve this problem clustering technique are always used, among the entire clustering technique grid based clustering is more efficient. Most of the work uses the average distance within the grid & between neighboring grids for calculating the average energy consumption; by using this average distance model we found that it underestimate the actual value of average energy consumption. So we propose a better model for energy consumption i.e. Distance distribution model, this model gives the accurate estimation of energy consumption. Distance distribution model can be used to optimize grid size and minimize energy consumption.
Keywords: Average Energy Consumption, Clustering, Distance Distribution Sensor, Grid based Clustering, power consumption, WSN