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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Abuhmida, M. Radhakrishnan, K. Wells, I. |
| Copyright Year | 2015 |
| Description | Author affiliation: Sch. of Appl. Comput., Univ. of Wales Trinity St. David, Swansea, UK (Abuhmida, M.; Radhakrishnan, K.) || Univ. of Wales Trinity St. David, Swansea, UK (Wells, I.) |
| Abstract | Location based protocols use the information of node's position to route the data. Routing the data in this case does not mean choosing the shortest path. It means choosing the available path based on the location information, this is one of the reasons that these protocols may fail the routing task in mobile Ad-hoc Networks (MANET) where the mobility of the nodes and the dynamic topology makes the routing task more difficult. Alternatively, the ANT colony optimization (ACO) based protocols will successfully find the shortest path to any desired destination in a MANET. To achieve reliable routing in MANET, these protocols extensively uses the control packets, consequently this will this will increase the network overhead. In this paper we present performance evaluation of ANTMANET, which is a novel MANET routing protocol based on the ACO algorithm. It utilizes the location information to minimize the search areas, which have great impact on improving the network overhead. It is observed that our bio-inspired protocol has outperformed AODV and LANMAR on different evaluation criteria such as delay, network overhead, while using the random-waypoint max-speed mobility model. |
| Starting Page | 109 |
| Ending Page | 114 |
| File Size | 614751 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479980369 |
| e-ISBN | 9781467395571 |
| DOI | 10.1109/ITechA.2015.7317379 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-09-08 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Ant Colony Optimization Wireless sensor networks Zone Routing Wireless Sensor Network Mobile communication Routing protocols Nickel Mobile Ad-hoc Delays Optimization Mobile computing Swarm Intelligence |
| Content Type | Text |
| Resource Type | Article |
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