<?xml version="1.0" encoding="UTF-8"?>
<article article-type="Research Article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher">journal-of-information-and-optimization-sciences</journal-id>
      <journal-title-group>
        <journal-title>Journal of Information and Optimization Sciences</journal-title>
      </journal-title-group>
      <issn publication-format="electronic">2169-0103</issn>
      <issn publication-format="print">0252-2667</issn>
      <publisher>
        <publisher-name>Taru Publications</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.47974/JIOS-1286</article-id>
      <title-group>
        <article-title>Prolong the lifetime of sensor monitoring system using schedule matrix while employing digital signatures</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Kumar</surname>
            <given-names>Pankaj</given-names>
          </name>
          <aff>School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Sharma</surname>
            <given-names>Saurabh Kumar</given-names>
          </name>
          <aff>School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Kadam</surname>
            <given-names>Kaveri Umesh</given-names>
          </name>
          <aff>Department of Electronics and Communication Engineering, Jamia Millia Islamia Central University, New Delhi, India</aff>
        </contrib>
      </contrib-group>
      <volume>44</volume>
      <issue>7</issue>
      <fpage>1327</fpage>
      <lpage>1346</lpage>
      <pub-date date-type="pub">
        <day>19</day>
        <month>10</month>
        <year>2023</year>
      </pub-date>
      <abstract>
        <p>In this paper a linear programing approach has been implemented for finding the energy efficient path for prolonging the network lifetime of sensor monitoring systems. For a given set of sensors and spots, a sensor can only monitor a single spot at a time and a spot can be the monitoring range of k-sensors. While using digital signatures on sensor nodes, a linear programming framework is designed to determine the system’s maximum life time. Digital signatures provide node authentication and non-repudiation service in wireless sensor network. Non-repudiation is supported by different types of digital signature schemes. Such schemes have large communication and /or computation cost, which is traditionally infeasible for wireless sensor network. The proposed solution addresses such issue by using a scheduling mechanism. The problem is divided into three steps: (i) using a linear programming approach, determine the system’s maximum life-time and make an assignment matrix. (ii) The assignment matrix is factored into a series of scheduling matrices. (iii) On the basis of schedule matrices that indicate the group of active sensors determine the optimal path of data flow from node-i to node-j.</p>
      </abstract>
      <kwd-group>
        <kwd>Digital signature</kwd>
        <kwd>Monitoring system</kwd>
        <kwd>Scheduling algorithm</kwd>
        <kwd>Wireless sensor network</kwd>
        <kwd>Scheduling matrix</kwd>
      </kwd-group>
      <custom-meta-group>
        <custom-meta>
          <meta-name>access</meta-name>
          <meta-value>open</meta-value>
        </custom-meta>
        <custom-meta>
          <meta-name>retracted</meta-name>
          <meta-value>no</meta-value>
        </custom-meta>
      </custom-meta-group>
    </article-meta>
  </front>
</article>
