Minimum-energy multicast in mobile ad hoc networks using network coding
The minimum energy required to transmit one bit of information through a network characterizes the most economical way to communicate in a network. In this paper, we show that, under a layered model of wireless networks, the minimum energy-per-bit for multicasting in a mobile ad hoc network can be f...
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description | The minimum energy required to transmit one bit of information through a network characterizes the most economical way to communicate in a network. In this paper, we show that, under a layered model of wireless networks, the minimum energy-per-bit for multicasting in a mobile ad hoc network can be found by a linear program; the minimum energy-per-bit can be attained by performing network coding. Compared with conventional routing solutions, network coding not only allows a potentially lower energy-per-bit to be achieved, but also enables the optimal solution to be found in polynomial time, in sharp contrast with the NP-hardness of constructing the minimum-energy multicast tree as the optimal routing solution. We further show that the minimum energy multicast formulation is equivalent to a cost minimization with linear edge-based pricing, where the edge prices are the energy-per-bits of the corresponding physical broadcast links. This paper also investigates minimum energy multicasting with routing. Due to the linearity of the pricing scheme, the minimum energy-per-bit for routing is achievable by using a single distribution tree. A characterization of the admissible rate region for routing with a single tree is presented. The minimum energy-per-bit for multicasting with routing is found by an integer linear program. We show that the relaxation of this integer linear program, studied earlier in the Steiner tree literature, can now be interpreted as the optimization for minimum energy multicasting with network coding. In short, this paper presents a unifying study of minimum energy multicasting with network coding and routing. |
doi_str_mv | 10.1109/TCOMM.2005.857148 |
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In this paper, we show that, under a layered model of wireless networks, the minimum energy-per-bit for multicasting in a mobile ad hoc network can be found by a linear program; the minimum energy-per-bit can be attained by performing network coding. Compared with conventional routing solutions, network coding not only allows a potentially lower energy-per-bit to be achieved, but also enables the optimal solution to be found in polynomial time, in sharp contrast with the NP-hardness of constructing the minimum-energy multicast tree as the optimal routing solution. We further show that the minimum energy multicast formulation is equivalent to a cost minimization with linear edge-based pricing, where the edge prices are the energy-per-bits of the corresponding physical broadcast links. This paper also investigates minimum energy multicasting with routing. Due to the linearity of the pricing scheme, the minimum energy-per-bit for routing is achievable by using a single distribution tree. A characterization of the admissible rate region for routing with a single tree is presented. The minimum energy-per-bit for multicasting with routing is found by an integer linear program. We show that the relaxation of this integer linear program, studied earlier in the Steiner tree literature, can now be interpreted as the optimization for minimum energy multicasting with network coding. In short, this paper presents a unifying study of minimum energy multicasting with network coding and routing.</description><identifier>ISSN: 0090-6778</identifier><identifier>EISSN: 1558-0857</identifier><identifier>DOI: 10.1109/TCOMM.2005.857148</identifier><identifier>CODEN: IECMBT</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Algorithms ; Applied sciences ; Broadcasting ; Coding ; Coding, codes ; Computer networks ; Costs ; Energy efficiency ; Equipments and installations ; Exact sciences and technology ; Information, signal and communications theory ; Linearity ; Mathematical models ; Mobile ad hoc networks ; Mobile radiocommunication systems ; mobility ; multicast ; Multicasting ; Network coding ; Networks ; Operations research ; Optimization ; Pattern recognition ; Polynomials ; Power generation economics ; Pricing ; Radiocommunications ; Routing ; Routing (telecommunications) ; Signal and communications theory ; Signal processing ; Steiner tree ; Studies ; Systems, networks and services of telecommunications ; Telecommunications ; Telecommunications and information theory ; Transmission and modulation (techniques and equipments) ; Trees ; wireless ad hoc networks ; Wireless networks</subject><ispartof>IEEE transactions on communications, 2005-11, Vol.53 (11), p.1906-1918</ispartof><rights>2006 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2005</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c451t-b57d4aab51dac04ec0bed51492d6cea6c4d83d114f0056a6c8aae44ed6f130ae3</citedby><cites>FETCH-LOGICAL-c451t-b57d4aab51dac04ec0bed51492d6cea6c4d83d114f0056a6c8aae44ed6f130ae3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1532487$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1532487$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17270141$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Wu, Y.</creatorcontrib><creatorcontrib>Chou, P.A.</creatorcontrib><creatorcontrib>Sun-Yuan Kung</creatorcontrib><title>Minimum-energy multicast in mobile ad hoc networks using network coding</title><title>IEEE transactions on communications</title><addtitle>TCOMM</addtitle><description>The minimum energy required to transmit one bit of information through a network characterizes the most economical way to communicate in a network. In this paper, we show that, under a layered model of wireless networks, the minimum energy-per-bit for multicasting in a mobile ad hoc network can be found by a linear program; the minimum energy-per-bit can be attained by performing network coding. Compared with conventional routing solutions, network coding not only allows a potentially lower energy-per-bit to be achieved, but also enables the optimal solution to be found in polynomial time, in sharp contrast with the NP-hardness of constructing the minimum-energy multicast tree as the optimal routing solution. We further show that the minimum energy multicast formulation is equivalent to a cost minimization with linear edge-based pricing, where the edge prices are the energy-per-bits of the corresponding physical broadcast links. This paper also investigates minimum energy multicasting with routing. Due to the linearity of the pricing scheme, the minimum energy-per-bit for routing is achievable by using a single distribution tree. A characterization of the admissible rate region for routing with a single tree is presented. The minimum energy-per-bit for multicasting with routing is found by an integer linear program. We show that the relaxation of this integer linear program, studied earlier in the Steiner tree literature, can now be interpreted as the optimization for minimum energy multicasting with network coding. In short, this paper presents a unifying study of minimum energy multicasting with network coding and routing.</description><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Broadcasting</subject><subject>Coding</subject><subject>Coding, codes</subject><subject>Computer networks</subject><subject>Costs</subject><subject>Energy efficiency</subject><subject>Equipments and installations</subject><subject>Exact sciences and technology</subject><subject>Information, signal and communications theory</subject><subject>Linearity</subject><subject>Mathematical models</subject><subject>Mobile ad hoc networks</subject><subject>Mobile radiocommunication systems</subject><subject>mobility</subject><subject>multicast</subject><subject>Multicasting</subject><subject>Network coding</subject><subject>Networks</subject><subject>Operations research</subject><subject>Optimization</subject><subject>Pattern recognition</subject><subject>Polynomials</subject><subject>Power generation economics</subject><subject>Pricing</subject><subject>Radiocommunications</subject><subject>Routing</subject><subject>Routing (telecommunications)</subject><subject>Signal and communications theory</subject><subject>Signal processing</subject><subject>Steiner tree</subject><subject>Studies</subject><subject>Systems, networks and services of telecommunications</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Transmission and modulation (techniques and equipments)</subject><subject>Trees</subject><subject>wireless ad hoc networks</subject><subject>Wireless networks</subject><issn>0090-6778</issn><issn>1558-0857</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kUtLLDEUhIMoOD5-gLhphKurHk86z15eBl_g4EbXIZOc1nj7oUk3Mv_e6HgRXLg6FOergqIIOaIwpxTq8_vF3XI5rwDEXAtFud4iMyqELiHLbTIDqKGUSuldspfSMwBwYGxGrpahD93UldhjfFwX3dSOwdk0FqEvumEVWiysL54GV_Q4vg3xXyqmFPrH_7Jwg8_ygOw0tk14-HX3ycPlxf3iury9u7pZ_L0tHRd0LFdCeW7tSlBvHXB0sEIvKK8rLx1a6bjXzFPKm9xEZq2tRc7Ry4YysMj2ydkm9yUOrxOm0XQhOWxb2-MwJaNrWTEuap7J01_JSoNgNdcZPPkBPg9T7HMLo6XiTEkpMkQ3kItDShEb8xJDZ-PaUDAfC5jPBczHAmazQPb8-Qq2ydm2ibZ3IX0bVaWAcpq54w0XEPH7LVjFtWLvVHSPWA</recordid><startdate>20051101</startdate><enddate>20051101</enddate><creator>Wu, Y.</creator><creator>Chou, P.A.</creator><creator>Sun-Yuan Kung</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>20051101</creationdate><title>Minimum-energy multicast in mobile ad hoc networks using network coding</title><author>Wu, Y. ; Chou, P.A. ; Sun-Yuan Kung</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c451t-b57d4aab51dac04ec0bed51492d6cea6c4d83d114f0056a6c8aae44ed6f130ae3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Algorithms</topic><topic>Applied sciences</topic><topic>Broadcasting</topic><topic>Coding</topic><topic>Coding, codes</topic><topic>Computer networks</topic><topic>Costs</topic><topic>Energy efficiency</topic><topic>Equipments and installations</topic><topic>Exact sciences and technology</topic><topic>Information, signal and communications theory</topic><topic>Linearity</topic><topic>Mathematical models</topic><topic>Mobile ad hoc networks</topic><topic>Mobile radiocommunication systems</topic><topic>mobility</topic><topic>multicast</topic><topic>Multicasting</topic><topic>Network coding</topic><topic>Networks</topic><topic>Operations research</topic><topic>Optimization</topic><topic>Pattern recognition</topic><topic>Polynomials</topic><topic>Power generation economics</topic><topic>Pricing</topic><topic>Radiocommunications</topic><topic>Routing</topic><topic>Routing (telecommunications)</topic><topic>Signal and communications theory</topic><topic>Signal processing</topic><topic>Steiner tree</topic><topic>Studies</topic><topic>Systems, networks and services of telecommunications</topic><topic>Telecommunications</topic><topic>Telecommunications and information theory</topic><topic>Transmission and modulation (techniques and equipments)</topic><topic>Trees</topic><topic>wireless ad hoc networks</topic><topic>Wireless networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wu, Y.</creatorcontrib><creatorcontrib>Chou, P.A.</creatorcontrib><creatorcontrib>Sun-Yuan Kung</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Wu, Y.</au><au>Chou, P.A.</au><au>Sun-Yuan Kung</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Minimum-energy multicast in mobile ad hoc networks using network coding</atitle><jtitle>IEEE transactions on communications</jtitle><stitle>TCOMM</stitle><date>2005-11-01</date><risdate>2005</risdate><volume>53</volume><issue>11</issue><spage>1906</spage><epage>1918</epage><pages>1906-1918</pages><issn>0090-6778</issn><eissn>1558-0857</eissn><coden>IECMBT</coden><abstract>The minimum energy required to transmit one bit of information through a network characterizes the most economical way to communicate in a network. In this paper, we show that, under a layered model of wireless networks, the minimum energy-per-bit for multicasting in a mobile ad hoc network can be found by a linear program; the minimum energy-per-bit can be attained by performing network coding. Compared with conventional routing solutions, network coding not only allows a potentially lower energy-per-bit to be achieved, but also enables the optimal solution to be found in polynomial time, in sharp contrast with the NP-hardness of constructing the minimum-energy multicast tree as the optimal routing solution. We further show that the minimum energy multicast formulation is equivalent to a cost minimization with linear edge-based pricing, where the edge prices are the energy-per-bits of the corresponding physical broadcast links. This paper also investigates minimum energy multicasting with routing. Due to the linearity of the pricing scheme, the minimum energy-per-bit for routing is achievable by using a single distribution tree. A characterization of the admissible rate region for routing with a single tree is presented. The minimum energy-per-bit for multicasting with routing is found by an integer linear program. We show that the relaxation of this integer linear program, studied earlier in the Steiner tree literature, can now be interpreted as the optimization for minimum energy multicasting with network coding. In short, this paper presents a unifying study of minimum energy multicasting with network coding and routing.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TCOMM.2005.857148</doi><tpages>13</tpages></addata></record> |
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subjects | Algorithms Applied sciences Broadcasting Coding Coding, codes Computer networks Costs Energy efficiency Equipments and installations Exact sciences and technology Information, signal and communications theory Linearity Mathematical models Mobile ad hoc networks Mobile radiocommunication systems mobility multicast Multicasting Network coding Networks Operations research Optimization Pattern recognition Polynomials Power generation economics Pricing Radiocommunications Routing Routing (telecommunications) Signal and communications theory Signal processing Steiner tree Studies Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Trees wireless ad hoc networks Wireless networks |
title | Minimum-energy multicast in mobile ad hoc networks using network coding |
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