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Although, the discussion here is geared toward maintaining sensor networks over an extended period of time, planning is equally important for short term installations. Experience has shown that many short term installations have become long term even if that was not intended initially and many small installations have been expanded to cover more area or measure more parameters.
 
Although, the discussion here is geared toward maintaining sensor networks over an extended period of time, planning is equally important for short term installations. Experience has shown that many short term installations have become long term even if that was not intended initially and many small installations have been expanded to cover more area or measure more parameters.
  
Clearly, sensor network deployments are driven by ambitious science questions. However, good planning can help anticipate limitations and prevent time issues from becoming the driving force. Focusing on the overarching imperatives of good design, proper placement, organized data flow, and a well trained and motivated team, will result in successful implementation and continued maintenance. Compromised installations diminish the impacts of the original study, can drain operating budgets unnecessarily, and inhibit leveraging of the science for future work and funding.
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Clearly, sensor network deployments are driven by ambitious science questions. However, anticipating the scope of limitations and good planning can help prevent time issues, such as constraints placed on spending and research progress, from becoming the driving force. Focusing on the overarching imperatives of good design, proper placement, organized data flow, and a well trained and motivated team, will result in successful implementation and continued maintenance. Compromised installations diminish the impacts of the original study, can drain operating budgets unnecessarily, and inhibit leveraging of the science for future work and funding.  
  
 
= Implementation Feasibility =
 
= Implementation Feasibility =

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