2013
DOI: 10.5120/10600-5302
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Lifetime Prolonged Coverage, Connectivity Configuration (LPC3) Protocol for Wireless Sensor Network

Abstract: As wireless sensor networks (WSNs) continue to attract more and more researchers attention, new ideas for applications are continually being developed, many of which involve consistent coverage with good network connectivity of a given area of interest. For the successful operation of the wireless Sensor Network, the active sensor nodes must maintain both sufficient sensing coverage, and also sufficient network connectivity. These are two closely related essential prerequisites and they are also very important… Show more

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“…They investigated various parameters such as feed, cutting speed to study the delamination on the composite during the machining process. Design of Experiments were conducted using Taguchi's technique and analysis of variance was used to gain minimization of delamination controlled by the drilling parameters and the number of layers .Anand et al [5] have investigated and optimized the process parameters during the drilling of hybrid glass fiber reinforced polymer using multi response optimization techniques such as grey relational analysis, regression analysis, fuzzy logic and Artificial Neural Network models. Thakur et al [6] have optimized the drilling parameters using multi-objective optimization techniques during machining of CFRP Composites taking into consideration the delamination and material removal rate as the response parameters.…”
Section: Literature Reviewmentioning
confidence: 99%
“…They investigated various parameters such as feed, cutting speed to study the delamination on the composite during the machining process. Design of Experiments were conducted using Taguchi's technique and analysis of variance was used to gain minimization of delamination controlled by the drilling parameters and the number of layers .Anand et al [5] have investigated and optimized the process parameters during the drilling of hybrid glass fiber reinforced polymer using multi response optimization techniques such as grey relational analysis, regression analysis, fuzzy logic and Artificial Neural Network models. Thakur et al [6] have optimized the drilling parameters using multi-objective optimization techniques during machining of CFRP Composites taking into consideration the delamination and material removal rate as the response parameters.…”
Section: Literature Reviewmentioning
confidence: 99%