SELECT OF OPTIMAL SLEEP STATE IN ADAPTIVE SMAC USING DPM
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 7
Abstract
Wireless sensor networks are networks with low power nodes and limited processing. The main problem in these networks is energy. This resource is not replaceable or rechargeable. Therefore, optimal energy consumption for wsn protocols is a necessity. In a number of proposed protocols periodic sleep and wake is used for energy use reduction but these protocols result in increased end to end delay. If such delay is not cceptable for program, there will be a lot of problems such as real time programs.One of mac layer protocols that uses periodic sleep and wake for energy use reduction, is smac. Adaptive smac is an improvement on smac protocol that rather reduces its delay through early wake. In this paper an improvement has been made on adaptive smac algorithm. Thus dpm has been used in the algorithm. In used DPM, in several sleeping states, nodes remaining energy have been taken into account besides considering idle time. Also energy use is reduced in idle listening state through avoiding imultaneous wake of receiving and sending neighborhoods. Thus this algorithm helps in decreasing the delay as well as increasing the lifetime of network.
Authors and Affiliations
Elham Hajian , Kamal Jamshidi , Ali Bohlooli
BOILER EFFICIENCY EVALUATION AND MONITORING THROUGH DATA MINING TECHNIQUES IN TEXTILE INDUSTRY
Cost of energy is the highest among all other components in the production of textile products. So energy efficiency analysis and control has assumed paramount importance. Boiler consumes measure chunk of fuel in any pro...
A NOVEL APPROACH FOR PRIORTIZATION OF OPTIMIZED TEST CASES
Generation and prioritization of test cases is one of the major issue in software testing.Maximum number of faults are identified through test cases only. Clients confidence can be gained through software testing. This p...
A Novel flow for Reasoning of Medical Diagnostic System using Artificial Feed Forward Neural Networks
In its first part, this contribution reviews shortly the application of neural network methods to medical problems and characterizes its advantages and problems in the context of the medical background. Various research...
Implementation of Distributed Algorithm with Network Coding for Multicast Network
In today's practical networks, end-to-end information delivery is performed by routing. Network coding generalizes routing by allowing a node to generate output data by mixing (i.e., computing certain functions of) its r...
Study of Data Mining Approach for Mobile Computing Environment
Efficient Data mining Techniques are required to discover useful Information andknowledge. This is due to the effective involvement of computers and the improvement inDatabase Technology which has provided large Data. Th...