QoS Improvement using Enhanced Manhattan Mobility Model on Proposed Ant Colony Optimization Technique in MANETs
نویسندگان
چکیده
In the current Mobile Ad-hoc Network (MANET) route discovery procedure, traffic overflow and overhead may pose a major challenge for path finding between communicating nodes. Swarm intelligence technique has been applied various routing problems. We suggest an ant-based bottleneck method MANET to identify weak links in chosen delay issues. During data exchange, it selects using swarm based called Ant Colony Optimization (ACO). Initially, we have created node movements by Enhanced Manhattan Mobility Model (EMMM) then value ant colony optimization is applied. The simulation results show improvement over existing ACO terms of mobility pause time. Quality Service (QoS) performance metrics showed 66% drop rate, 141% packet delivery ratio, 42% overhead, 171% throughput, 34% average end-to-end experiment. There 82% 108% 45% 49% time
منابع مشابه
Improvement in Traffic Light System with Ant Colony Optimization Technique
It is easy to control traffic light system on highways but difficult in urban areas. This problem can be solved by decreasing the stoppage time at the junction to zero, instead of broaden the available traffic network. In this paper, different tools or algorithm are used and everyone has its own contribution in solving the traffic light system. Here sensors are used to control the speed of cars...
متن کاملRouting in Mobile Adhoc Networks (manets) Using Fuzzy Aided Ant Colony Optimization (aco) Technique
In this work, a routing algorithm suitable for Mobile Adhoc Networks is proposed. MANETS are unstable nature when network mobility increases. Path selection process is a critical task in routing algorithms. The proposed work addresses this problem by employing Ant Colony Optimization and Fuzzy logic technques while developing the routing algorithm. The path information by ants will be given to ...
متن کاملFeature Selection Technique Using Ant Colony Optimization on Keystroke Dynamics
The work is concerned with the use of Ant Colony Optimization algorithm for feature selection of Keystrokes Dynamics and comparison of classification accuracy of Multi-SVM and KNN classifiers. There are various approaches used for feature subset selection but, ACO algorithm gives good performance than other feature selection algorithm like Genetic Based algorithm and Particle Swarm Optimization...
متن کاملAn Emerging Ant Colony Optimization Routing Algorithm (acora) for Manets
Ad hoc networks are characterized by multi-hop wireless connectivity, frequently changing network topology and the need for efficient dynamic routing protocols. A mobile ad hoc network (Manet) is a collection of mobile nodes which communicate over radio. These kinds of networks are very flexible, thus they do not require any existing infrastructure or central administration. Therefore, mobile a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Scientific & Industrial Research
سال: 2023
ISSN: ['0022-4456']
DOI: https://doi.org/10.56042/jsir.v82i06.1827