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  <record>
    <language>eng</language>
          <publisher>Oriental Scientific Publishing Company</publisher>
        <journalTitle>Biosciences Biotechnology Research Asia</journalTitle>
          <issn>0973-1245</issn>
            <publicationDate>2016-06-21</publicationDate>
    
        <volume>12</volume>
        <issue>Spl.Edn.2</issue>

 
    <startPage>419</startPage>
    <endPage>427</endPage>

	 
      <doi>10.13005/bbra/2219</doi>
        <publisherRecordId>12980</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">Energy-Aware Routing Minimizing Interference based on The Gravitional Search Algoritm in WSN</title>

    <authors>
	 


      <author>
       <name>Elmira Shahraki</name>

 
		
	<affiliationId>1</affiliationId>
      </author>
    

	 


      <author>
       <name>Hengameh Keshavarz</name>


		
	<affiliationId>1</affiliationId>

      </author>
    

	 


      <author>
       <name>Ali Shokouhi Rostami</name>

		
	<affiliationId>1</affiliationId>
      </author>
    

	


	


	
    </authors>
    
	    <affiliationsList>
	    
		

		
		
		
		
		
	  </affiliationsList>






    <abstract language="eng">Interference is one of the fundamental challenges in the wireless communication.
Reducing the network interference leads to fewer collisions of communication signals
and thus packet retransmission will be decreased. Reducing the interference decreases
the delays and the power consumption indirectly, thus it makes an increase in the
network lifetime. Therefore, How to choose the sensor nodes and the amount of energy
consumption are very important in routing methods. In this paper, the idea of using
gravitational search algorithm has been proposed in order to reduce the interference and
increase the lifetime of the wireless sensor networks. The proposed algorithm selects a
link based on GSA among from the nodes that are candidates in energy efficient space
with the minimum interference. The simulation results indicate that the proposed
algorithm shows better performance compared to EIGR algorithm in terms of signal to
noise ratio –plus- Interference and lifetime.</abstract>

    <fullTextUrl format="html">https://www.biotech-asia.org/vol12_nospl_edn2/energy-aware-routing-minimizing-interference-based-on-the-gravitional-search-algoritm-in-wsn/</fullTextUrl>



      <keywords language="eng">
        <keyword>wireless sensor network; Gravitional Search Algorithm; Geographical routing algorithm; Interference; Energy; Lifetime</keyword>
      </keywords>

  </record>
</records>