Yes, you can implement  but you need to develop every module from scratch.

Some WSN applicaions in matlab are 

http://www.mathworks.in/matlabcentral/fileexchange/40115-low-energy-adaptive-clustering-hierarchy-protocol-leach

http://www.mathworks.com/matlabcentral/fileexchange/29922-mobile-user-localization-in-wsn

http://www.mathworks.com/matlabcentral/fileexchange/25853-wireless-networks

https://www.youtube.com/watch?v=rDf1zB5dz6Q

NS2 or similar platform provides inbult modules for WSN. So they are better options to simulate 

https://www.youtube.com/watch?v=Om672pGBOFo

It Willtake you more code writing using matlab tanh using apropriate Simulator of WSN, note that there are many simulators for WSN.

Some are related to specific application with WSN such as : comunication, power consumption, processing, i.e  :OMNET++ , J-sim, Tosim ..

I suggest you to go for some Network simulators Like NS2 or Omnet++ . If you are planning to work in MAC layer then Matlab is good choice, else if you working at networks layer or transport layer then NS2 or Omnet++ are better options.  

MATLAB is slow

I would suggest ns2 as you will get a huge code already written there, need not develop, it is well accepted platform for WSN simulation, well proven over time and results can be relied upon.

The Following Papers may give you an ides of the Complexities and Solutions to

tacle the problems of simulating present day Grids.

1. An Integrated Cyber-Physical Simulation Environment for Smart Grid

Applications

Yuxin Wan, Junwei Cao

, Shuqing Zhang, Guoyu Tu, Chao Lu, Xingtao Xu, and Keqin Li

Abstract:

The concept of Cyber-Physical Systems (CPSs), which combine computation, networking, and physical processes, is considered to be beneficial to smart grid applications. This study presents an integrated simulation environment to provide a unified platform for the investigation of smart grid applications involving power grid monitoring, communication, and control. In contrast to the existing approaches, this environment allows the network simulator to operate independently, importing its results to the power system simulation. This resolves conflicts between discrete event simulation and continuous simulation. In addition, several data compensation methods are proposed and investigated under different network delay conditions. A case study of wide-area monitoring and

control is provided, and the efficiency of the proposed simulation framework has been evaluated based on the experimental results.

Key words:

control; cyber-physical system; simulation; smart grid; wide-area monitoring

Link: http://www.mit.edu/~caoj/pub/doc/jcao_j_sg.pdf

2. A Comparison of Wireless Sensor Networks Co-Simulation Platforms for Smart Grid Applications

Samira Chouikhi *, Inès El Korbi *, Yacine Ghamri-Doudane † and Leila Azouz Saidane

The problem in a smart grid is to simulate two completely different systems interacting with each other. On the one hand, the electric power system has a continuous time dynamic behavior. On the other hand, the communication network including many types of networks (wireless sensor, wired, LAN, and WLAN networks) has a discrete event behavior. Therefore, simulators conceived for conventional power grids or only for networking are unable to emulate the real behavior of smart grids. This incapability rise the need for new platforms that can reflect the real smart grids behavior and provide tools for the researches to simulate any new technique or mechanism specific to these grids. The term co-simulation is used to define a simulation of two different systems, which needs the cooperation of more than one simulator (the power simulator and the network simulator in the case of smart grids) to fulfill the simulation task.

Co-simulation supports many different methods for connecting simulators. One method is that each simulator runs separately from the other and when an interaction is needed it can send or receive information by using third tier (for example pipes). In this method, the synchronization is a key factor to guarantee the simulation success. The second method is to implement new interface in each simulator ensuring the interaction with the other simulator without need of a third tier. Another method is to integrate one simulator’s

functionalities in the other as a module. This can avoid the problem of synchronization and gives a perfect emulation of the real world.

Link: www.sdiwc.net/digital-library/web-admin/upload-pdf/..

3. Combined Studies of Power Electronics and Communication Networks for the Smart Grid

L. C. Herrera,, F. Guo,R. Murawski,E. Ekici,and J. Wang,

Abstract

--The modernization of the current power grid has brought forward many requirements in order to make possible the vision of a smarter grid. This paper presents these challenges and the current achievements in order to aid in its

transformation. It identifies developing applications within the power network; from centralized generation to distribution in terms of power electronics, power systems, and communications.

A summary of the current undergoing studies in a lab setting geared towards solving the needs of the smart grid is described.

Furthermore, a case study which emphasizes the communication, control, and simulation aspects for the smart grid is expressed and results are displayed in detail.

Index Terms

-- Smart grids, real time systems, solar energy, communication networks, power grids.

Link: http://www2.ece.ohio-state.edu/~ekici/papers/Smart_Energytech.pdf

P.S.

Thank you all for your kindness.

Yes, you can. It is possible use the serial port for this.

I recommend this module "xbee pro s2" with the adapter Serial to USB. It not required much work to implement. More information in

http://www.google.com.cu/url?sa=t&rct=j&q=&esrc=s&source=web&cd=8&cad=rja&uact=8&ved=0CD8QFjAH&url=http%3A%2F%2Fwww.digi.com%2Fsupport%2Fproductdetail%3Fpid%3D3430%26type%3Ddocumentation&ei=quJ2VY3QOYeJsQSLlb2wBA&usg=AFQjCNF6kq-MyvEor3EHdMoNPvZU3Aq-pQ&bvm=bv.95039771,d.aWw

I recommande as well NS2 to simulate WSN features.

Yes , you can

you can refer to the following IEEE Digital Library site.

Article Wireless Sensor Network Simulation Frameworks: A Tutorial Re...

Wireless sensor network simulation frameworks: A tutorial review: MATLAB/Simulink bests the rest.

Abstract: A Wireless Sensor Network (WSN) is a distributed set of sensors deployed to work together for collective sensing and possible data processing. A WSN can be used to monitor environmental behavior and structural integrity in a variety of application fields, thus becoming an integral part of the consumer electronics of smart buildings in smart cities. Due to ever-increasing population growth, along with limited natural resources, smart cities are expected to be the wave of the future. For instance, WSNs are widely used in industrial settings with machine monitoring and play an important role in monitoring the structural integrity of large buildings and bridges. This article focuses on existing WSN simulation frameworks that could be integrated with realtime hardware prototypes. We analyze and compare various such simulation frameworks, and we determine a suitable simulation environment that supports specific software packages.

Published in: IEEE Consumer Electronics Magazine ( Volume: 5, Issue: 2, April 2016 )

Page(s): 63 - 69 Date of Publication: 11 April 2016 ISSN Information: INSPEC Accession Number: 15920913

P.S.

(Dr.P.S.Subramanyam)

Dr. Pisupati Sadasiva Subramanyam garu thank you sir for your kindness and your valuable suggestions. I am grateful for everyone who answered this question. I have tried Qualnet initially and then I switched to ns 2.34 for building my header files and coding requirements using c++ . I felt interference based coding is a bit difficult in Matlab compared to ns2.34.