Changeset 2811

Timestamp:

10/30/09 20:08:59 (4 weeks ago)

Author:

jaein

Message:

 

Location:

HydroWatch/Tim/doc/ipsn10

Files:

• ipsn10-energy.tex (modified) (1 diff)
• sec_adaptive.tex (modified) (4 diffs)

HydroWatch/Tim/doc/ipsn10/ipsn10-energy.tex

@@ -49 +49 @@
 \end{abstract}
 
-\category{C.2}{Computer Systems Organization}{Computer Communication Networks}
-
-\terms{Design,Experimentation}
-
+\category{C.2}{Computer Systems Organization}{Computer Communication Networks} 
+\terms{Design,Experimentation} 
 \keywords{Utility, Adaptive, Energy Harvesting}
 

HydroWatch/Tim/doc/ipsn10/sec_adaptive.tex

@@ -96 +96 @@
 with a RAM buffer size set to the page size of the flash memory. 
 Second, the flash memory consumes much smaller energy-per-bits
-compared to that of the radio at higher duty-cycle (e.g. 5\%).
+compared to that of the radio at a higher duty-cycle (e.g. 5\%).
 
 
@@ -149 +149 @@
                 & E_{lr}(n,k) + E_{hr}(n,k) + E_f(n,k)
 \end{align}
-where $E_{sleep}$ is the total energy consumption of the node in sleep state, $E_{samp}$ is the consumption in the sample state, $E_{lr}$ is consumption for sending low-res reports, $E_{hr}$ is the consumption for streaming full fidelity data samples from storage and $E_f$ is the forwarding cost for passing on both low-res and high-res samples.
+where $E_{sleep}$ is the total energy consumed by the node in sleep state, $E_{samp}$ is the consumption in the sample state, $E_{lr}$ is the consumption for sending low-res reports, $E_{hr}$ is the consumption for streaming full fidelity data samples from storage and $E_f$ is the forwarding cost for passing on both low-res and high-res samples.
 
 Given the parameters of sample frequency and low-res report frequency $(F_{s}(n,k)$, $F_{r}(n,k))$, as described in Section~\ref{sec:utility_policy}, we can define the energy consumption, in a given interval, as a function of these parameters as: 
@@ -159 +159 @@
         E_{sleep} &\approx P_{sleep} T_{int}
 \end{align}
-where $c \in $ descendants of node $n$. Based on our models of energy consumption we define each constant as:
+where $c \in $ descendants of node $n$. Based on our models of energy consumption, we define each constant as:
 \begin{align}\label{equ:A}
         A_1(n) &= T_{int} N_s E_s\nonumber \\ 
@@ -208 +208 @@
 %%%%%%%%%%%%%%%%
 \subsection{Optimization Formulation}
-Given the formulation for meeting network lifetime goals as defined in Equation~\ref{equ:sustained}, our goal becomes to maximize the utility $U(n,k)$ while meeting the required energy constrains. Given our definition of utility as a linear combination of two independent parameters, we have chosen to solve this program, by formulating as a linear-programming (LP) optimization problem which is solved at the start of each interval. We discuss in the following sub-sections how we achieve this goal, first for the single-hop case before extending to the multi-hop case.
+Given the formulation for meeting network lifetime goals as defined in Equation~\ref{equ:sustained}, our goal becomes to maximize the utility $U(n,k)$ while meeting the required energy constrains. Given our definition of utility as a linear combination of two independent parameters, we have chosen to solve this program by formulating as a linear-programming (LP) optimization problem which is solved at the start of each interval. We discuss in the following sub-sections how we achieve this goal, first for the single-hop case before extending to the multi-hop case.
 
 %%%%%%%%%%%%%