diff --git a/introduction.tex b/introduction.tex
index 8f29567..4e4dd4d 100644
--- a/introduction.tex
+++ b/introduction.tex
@@ -6,9 +6,13 @@ referring to energy usage and \textit{usage} exclusively when referring to
 user interaction with the device or apps.} on mobile devices is close to
 being a solved problem, due to the great strides made in both generating and
 validating energy models that can deliver accurate runtime energy consumption
-estimates~\cite{vedge-nsdi13} and in accurately attributing energy
+estimates~\cite{mansdi, vedge-nsdi13} and in accurately attributing energy
 consumption---even for asynchronous and shared
-resources~\cite{cinder-eurosys11,osdi08-quanto}. Accurate energy models bring
+resources~\cite{cinder-eurosys11,osdi08-quanto}. 
+Previous work on component-based power modelling~\cite{dong2011, zhang2010, 
+jung2012} has mapped energy consumption to system-components like cpu, wifi chip, screen etc. 
+On the other hand, efforts like Eprof~\cite{pathak2011,pathak2012}, AppScope~\cite{yoon} traces system calls and monitors kernel activities to answer how much energy is consumed in an application level.
+Accurate energy models bring
 us one step close to the goal of effective energy management on smartphones
 and other battery-constrained mobile devices, while also providing developers
 with useful feedback as they build their mobile apps.
diff --git a/paper.tex b/paper.tex
index 152cca9..a30a91c 100644
--- a/paper.tex
+++ b/paper.tex
@@ -58,7 +58,7 @@ Anudipa Maiti and Geoffrey Challen\\
 \input{usage.tex}
 \input{metric.tex}
 \input{results.tex}
-\input{related.tex}
+%\input{related.tex}
 
 \input{conclusion.tex}
 
diff --git a/references.bib b/references.bib
index a55758c..36c7951 100644
--- a/references.bib
+++ b/references.bib
@@ -598,23 +598,6 @@ pages = {1-14},
   address = {New York, NY, USA},
 } 
 
-@inproceedings{xunsdi,
-  author = {Xu, Fengyuan and Liu, Yunxin and Li, Qun and Zhang, Yongguang},
-  title = "{V-edge: Fast Self-Constructive Power Modeling of Smartphones Based
-    on Battery Voltage Dynamics}",
-  booktitle = {Proceedings of the 10th USENIX conference on Networked Systems
-    Design and Implementation},
-  series = {nsdi'13},
-  year = {2013},
-  location = {Lombard, IL},
-  pages = {43--56},
-  numpages = {14},
-  url = {http://dl.acm.org/citation.cfm?id=2482626.2482633},
-  acmid = {2482633},
-  publisher = {USENIX Association},
-  address = {Berkeley, CA, USA},
-}
-
 @inproceedings{mansdi,
   author = {Ma, Xiao and Huang, Peng and Jin, Xinxin and Wang, Pei and Park,
     Soyeon and Shen, Dongcai and Zhou, Yuanyuan and Saul, Lawrence K. and
diff --git a/related.tex b/related.tex
index e1bd848..8d5a9cf 100644
--- a/related.tex
+++ b/related.tex
@@ -15,7 +15,7 @@ On the other hand, efforts like Eprof~\cite{pathak2011,pathak2012}, AppScope~\ci
 There has also being an impressive body of work to provide accurate energy measurement techniques
 like by using either external hardware~\cite{carroll,
 cignetti} or device-provided, built-in mechanisms such as smart
-battery interfaces and voltage information~\cite{mansdi, xunsdi}.
+battery interfaces and voltage information~\cite{mansdi, vedge-nsdi13}.
 But there has been no work as per our knowledge about identifying how much energy is consumed in providing
 utility to the user. There exists a gap in our understanding what part of energy consumption by an app is 
 necessary to provide useful content to the user and what part of it is lost in inefficiency.