Development of an Agent-Based Approached to Nodes'Misbehaviour in Mobile AD-Hoc networks
| dc.contributor.author | Uga, Bright Samera | |
| dc.date.accessioned | 2023-05-13T16:46:59Z | |
| dc.date.available | 2023-05-13T16:46:59Z | |
| dc.date.issued | 2014 | |
| dc.description | xvi,106 Pages | en_US |
| dc.description.abstract | Benign Nodes in Mobile Ad-Hoc Networks (MANETs) exhibit some forms of Misbehaviour due to their open nature and limited resources such as battery power and central processing unit. Existing Misbehaviour detection mechanisms developed to address this are faced with challenges of overhead and latency due to their complexity and failure to isolate and block misbehaving nodes. Hence this study formulated, simulated and evaluated a mobile agent acknowledgment (MAACK) scheme with the aim of reducing routing overhead and latency. The scheme is made up of two reactive Mobile Agent packets which were developed using object oriented algorithm and deployed to report misbehaving nodes to the source and destination by registering the internet protocol (IP) address of misbehaving nodes in their header. To achieve this, intermediate forwarder nodes were programmed to exhibit Misbehaviour by dropping packets at a range of 10% to 40% of the total nodes in the network then the mobile agent packets were instantiated as soon as there is drop. Simulation of MAACK was carried out in Network Simulator-3 (NS-3) and results Benchmarked with an existing scheme called the Enhanced Adaptive Acknowledgment (EAACK) using packet delivery ratio (PDR), routing overhead (RO) and latency as performance metrics in two scenarios. Scenario one isolates all misbehaving nodes by invalidating all routes through them while scenario two drops all packets from misbehaving nodes to deny them access to resources on the network. The simulation result shows that MAACK performs better than EAACK by 60.14% in routing overhead, 28.9% in packet delivery ratio for scenario one. Scenario two shows that MAACK performs 8.13% less at intervals of 0% to 30% malicious nodes and 14.44% better at 30% to 40% malicious nodes respectively. Latency was also reduced by average of 45.6% for 100 flows and 99% above 100 flows. In conclusion, this model could be adapted by Ad-Hoc network protocol developers in that it guarantees high packet delivery ratio low latency and routing overhead. | en_US |
| dc.identifier.citation | Uga,B.S.(2014).Development of an agent-based approached to nodes'misbehaviour in mobile ad-hoc networks.Obafemi Awolowo University. | en_US |
| dc.identifier.uri | https://ir.oauife.edu.ng/123456789/5353 | |
| dc.language.iso | en | en_US |
| dc.publisher | Obafemi Awolowo University | en_US |
| dc.subject | Nodes' Misbehaviour | en_US |
| dc.subject | Mobile ad-hoc networks | en_US |
| dc.subject | Enhanced Adaptive Acknowledgment | en_US |
| dc.subject | Using packet delivery ratio | en_US |
| dc.subject | Routing overhead | en_US |
| dc.title | Development of an Agent-Based Approached to Nodes'Misbehaviour in Mobile AD-Hoc networks | en_US |
| dc.type | Thesis | en_US |