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Conference Paper: PROPOSED ROUTING ALGORITHMS FOR THE US ARMY MOBILE SUBSCRIBER EQUIPMENT (MSE) NETWORK.
Title | PROPOSED ROUTING ALGORITHMS FOR THE US ARMY MOBILE SUBSCRIBER EQUIPMENT (MSE) NETWORK. |
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Authors | |
Issue Date | 1986 |
Citation | Proceedings - Ieee Military Communications Conference, 1986 How to Cite? |
Abstract | The US Army mobile subscriber equipment (MSE) Network consists of a large number of geographically dispersed, mobile radio terminals which require secure communications. The network is also subject to attacks by the enemy. Alternative network routing algorithms for the MSE are proposed and analyzed. |
Persistent Identifier | http://hdl.handle.net/10722/158015 |
DC Field | Value | Language |
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dc.contributor.author | Li, Victor OK | en_US |
dc.contributor.author | Chang, RongFeng | en_US |
dc.date.accessioned | 2012-08-08T08:57:43Z | - |
dc.date.available | 2012-08-08T08:57:43Z | - |
dc.date.issued | 1986 | en_US |
dc.identifier.citation | Proceedings - Ieee Military Communications Conference, 1986 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/158015 | - |
dc.description.abstract | The US Army mobile subscriber equipment (MSE) Network consists of a large number of geographically dispersed, mobile radio terminals which require secure communications. The network is also subject to attacks by the enemy. Alternative network routing algorithms for the MSE are proposed and analyzed. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Proceedings - IEEE Military Communications Conference | en_US |
dc.title | PROPOSED ROUTING ALGORITHMS FOR THE US ARMY MOBILE SUBSCRIBER EQUIPMENT (MSE) NETWORK. | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Li, Victor OK:vli@eee.hku.hk | en_US |
dc.identifier.authority | Li, Victor OK=rp00150 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.scopus | eid_2-s2.0-0023004623 | en_US |
dc.identifier.scopusauthorid | Li, Victor OK=7202621685 | en_US |
dc.identifier.scopusauthorid | Chang, RongFeng=7403713720 | en_US |