An Advanced Save-Energy Mechanism of Ad hoc Networks
This article improves on the energy-consuming equation and nodes 'energy states in the old energy model of ad hoc networks, which concerned of the nodes' energy consumption in listening and idle period, and enhances the comprehensive of solving energy problem in this area. In the communica...
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creator | Feng Zhenxin Li Layuan |
description | This article improves on the energy-consuming equation and nodes 'energy states in the old energy model of ad hoc networks, which concerned of the nodes' energy consumption in listening and idle period, and enhances the comprehensive of solving energy problem in this area. In the communication range of a node, where include the nodes could reach the nodes' signal, setting the highest energy-state node as an Agent will reduce the number of Agent in old save-energy model, and for improving the surviving time of the net, we added a new conception: edge-agent. The experiment indicates that the new energy-saving model cut down the idle nodes' energy consumption, declines the probability for nodes becoming agent-nodes, and increase the whole net's surviving time and the stability of communication because of using edge-agents. |
doi_str_mv | 10.1109/PERCOM.2008.48 |
format | Conference Proceeding |
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In the communication range of a node, where include the nodes could reach the nodes' signal, setting the highest energy-state node as an Agent will reduce the number of Agent in old save-energy model, and for improving the surviving time of the net, we added a new conception: edge-agent. The experiment indicates that the new energy-saving model cut down the idle nodes' energy consumption, declines the probability for nodes becoming agent-nodes, and increase the whole net's surviving time and the stability of communication because of using edge-agents.</description><identifier>ISBN: 9780769531137</identifier><identifier>ISBN: 076953113X</identifier><identifier>DOI: 10.1109/PERCOM.2008.48</identifier><identifier>LCCN: 2007941925</identifier><language>eng</language><publisher>IEEE</publisher><subject>Ad hoc networks ; Batteries ; Energy consumption ; Energy states ; Equations ; Laboratories ; Network interfaces ; Peer to peer computing ; Pervasive computing ; Switches</subject><ispartof>2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom), 2008, p.657-662</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4517472$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4517472$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Feng Zhenxin</creatorcontrib><creatorcontrib>Li Layuan</creatorcontrib><title>An Advanced Save-Energy Mechanism of Ad hoc Networks</title><title>2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom)</title><addtitle>PERCOM</addtitle><description>This article improves on the energy-consuming equation and nodes 'energy states in the old energy model of ad hoc networks, which concerned of the nodes' energy consumption in listening and idle period, and enhances the comprehensive of solving energy problem in this area. In the communication range of a node, where include the nodes could reach the nodes' signal, setting the highest energy-state node as an Agent will reduce the number of Agent in old save-energy model, and for improving the surviving time of the net, we added a new conception: edge-agent. The experiment indicates that the new energy-saving model cut down the idle nodes' energy consumption, declines the probability for nodes becoming agent-nodes, and increase the whole net's surviving time and the stability of communication because of using edge-agents.</description><subject>Ad hoc networks</subject><subject>Batteries</subject><subject>Energy consumption</subject><subject>Energy states</subject><subject>Equations</subject><subject>Laboratories</subject><subject>Network interfaces</subject><subject>Peer to peer computing</subject><subject>Pervasive computing</subject><subject>Switches</subject><isbn>9780769531137</isbn><isbn>076953113X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjE1PwkAUADcxJCr26sXL_oHWt_v26x2bpioJCEHuZNndSlVa0xIM_14SPc1hJsPYvYBCCKDHVb2ulotCArhCuSuWkXVgDWkUAu2E3V6MJSVI6muWjeMHAAgyVhhxw1TZ8TKefBdS5G_-lPK6S8P7mS9S2PuuHQ-8by4F3_eBv6bjTz98jnds0vivMWX_nLLNU72pXvL58nlWlfO8JTjm1MjorDGggYJF2XiEgFIJpOCBPPqIO5ecVpZ0lJBQAUjplQMTddzhlD38bduU0vZ7aA9-OG-VFlZZib8QskMd</recordid><startdate>200803</startdate><enddate>200803</enddate><creator>Feng Zhenxin</creator><creator>Li Layuan</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200803</creationdate><title>An Advanced Save-Energy Mechanism of Ad hoc Networks</title><author>Feng Zhenxin ; Li Layuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-9f2d87660509c732fa30c324139ca09a3ad3b8e854795d20e340022a4806d5db3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Ad hoc networks</topic><topic>Batteries</topic><topic>Energy consumption</topic><topic>Energy states</topic><topic>Equations</topic><topic>Laboratories</topic><topic>Network interfaces</topic><topic>Peer to peer computing</topic><topic>Pervasive computing</topic><topic>Switches</topic><toplevel>online_resources</toplevel><creatorcontrib>Feng Zhenxin</creatorcontrib><creatorcontrib>Li Layuan</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Feng Zhenxin</au><au>Li Layuan</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An Advanced Save-Energy Mechanism of Ad hoc Networks</atitle><btitle>2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom)</btitle><stitle>PERCOM</stitle><date>2008-03</date><risdate>2008</risdate><spage>657</spage><epage>662</epage><pages>657-662</pages><isbn>9780769531137</isbn><isbn>076953113X</isbn><abstract>This article improves on the energy-consuming equation and nodes 'energy states in the old energy model of ad hoc networks, which concerned of the nodes' energy consumption in listening and idle period, and enhances the comprehensive of solving energy problem in this area. In the communication range of a node, where include the nodes could reach the nodes' signal, setting the highest energy-state node as an Agent will reduce the number of Agent in old save-energy model, and for improving the surviving time of the net, we added a new conception: edge-agent. The experiment indicates that the new energy-saving model cut down the idle nodes' energy consumption, declines the probability for nodes becoming agent-nodes, and increase the whole net's surviving time and the stability of communication because of using edge-agents.</abstract><pub>IEEE</pub><doi>10.1109/PERCOM.2008.48</doi><tpages>6</tpages></addata></record> |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Ad hoc networks Batteries Energy consumption Energy states Equations Laboratories Network interfaces Peer to peer computing Pervasive computing Switches |
title | An Advanced Save-Energy Mechanism of Ad hoc Networks |
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