Changeset 2755

Timestamp:

10/30/09 03:37:33 (4 weeks ago)

Author:

wark

Message:

added more to conclusion 2

Files:

• HydroWatch/Tim/doc/ipsn10/sec_conc.tex (modified) (1 diff)

HydroWatch/Tim/doc/ipsn10/sec_conc.tex

@@ -3 +3 @@
 We have presented a framework for changing the way we believe environmental wireless sensor networks should be utilized for long-term deployments. Building on previous work in this area, we argue that the ``always on'' approach to environmental sensing places an inherent bias towards network responsiveness being the key performance metric. By turning \emph{off} the radio for long periods, we believe we can achieve a much greater network utility by redirecting energy away from idle listening towards increasing data fidelity at the same time as maintaining a reasonable level of network responsiveness.
 
-Given this model of thinking we propose a means by which nodes can adapt and optimize their operating point in order to maximize network utility given some prediction of future energy resources. As such we are advocating moving away from the ``slow and steady'' approach to long-term sensing where a node adopts a fixed operating point and attempts to consume as little energy as possible. Given we have the ability to estimate future energy resources, we believe nodes should consume as \emph{much} energy as possible in order to fully utilize all available harvested energy and maximize both the data fidelity and network responsiveness. Using retrospective environmental data we have shown our system performs over extended periods in being able to sustain long-term operation whilst maximizing network utility given energy constraints. Finally we compare our approach with other proposed methods for adapting node operating point, and show that we are able to achieve greater levels of network utility. 
+Given this model of thinking we propose a means by which nodes can adapt and optimize their operating point in order to maximize network utility given some prediction of future energy resources. As such we are advocating moving away from the ``slow and steady'' approach to long-term sensing where a node adopts a fixed operating point and attempts to consume as little energy as possible. Given we have the ability to estimate future energy resources, we believe nodes should consume as \emph{much} energy as possible in order to fully utilize all available harvested energy and maximize both the data fidelity and network responsiveness. Using retrospective environmental data we have shown how our system performs over extended periods in being able to sustain long-term operation whilst maximizing network utility given energy constraints. Finally we compare our approach with other proposed methods for adapting node operating point, and show that we are able to achieve greater levels of network utility at the same levels of energy consumption.
 
-Moving forward we intend to further demonstrate the benefit of our proposed approach via long-term field trials. 
+By moving away from the ``sample-listen-send'' paradigm which has dominated so much of sensor network protocols to date, we see a wealth of new research questions for the community. Moving forward we intend to further demonstrate the benefit of our proposed approaches via long-term field trials. Of particular interest will be cases where there is significant variation in the amount of energy nodes in the network harvest. Currently there is not an energy-aware component in the routing protocol, thus we believe the inclusion of such a parameter will useful in these scenarios. Finally, we believe many of the ideas presented in this paper will have broad applicability in the growing field of multimedia networks, where nodes can assume many operating points with high variations in power consumption and performance. Optimizing the operating point for these types of nodes will become crucial for long-term operation and will greatly change the ways these kinds of technologies can be used into the future.