Energy and Mobility Models based Performance Evaluation in MANET

Mobile ad hoc networks are constituted with randomly moving nodes and movement of these nodes is depended upon moving model used in the network. Performance of the network directly depends on the movements and energy consumed in a specific time period by the nodes. Also performance of the protocol used for communication depends on the type of mobility model used by that specific protocol. In this paper, performance of AODV (Ad hoc On demand Distance Vector) routing protocol have been evaluated in respect of five mobility models Random Way Point Mobility Model, Manhattan Grid Mobility Model, Gauss Markov Mobility Model, Random Direction Mobility Model, RPGM (Reference Point Group Mobility)). Performance metrics are considered as: average energy consumption and average residual energy. By varying the network connections, speed of the nodes, and node densities, in different scenarios, routing protocol has been simulated in network simulator 2.  Simulation results show that reference point group mobility model is best suitable model as compared to other mobility models for AODV protocol in terms of energy consumption

Performance Evaluation of Manhattan Mobility Model in Mobile Ad-hoc Networks

Mobility model is the foundation of the simulation study of various routing protocols in Mobile Ad-hoc Network (MANET). A Mobile Ad Hoc Network (MANET) is a continuously self-configuring network without infrastructure, where every node functions as a transmitter, router, and data sink. A high mobility of MANET nodes reduces the reliability of network communication. In dynamic networks, high mobility of the nodes makes it very difficult to predict the dynamic network topology and hence route/link failures. NS2 network simulator is used to implement MANET by using Destination-Sequenced Distance Vector (DSDV), Ad Hoc Demand Vector (AODV), and Dynamic Source Routing (DSR) by using mobility generator tool, Bonnmotion-3.0.1 in this paper. This paper compares mobility model on AODV, DSDV, and DSR routing protocols with QoS performance metrics throughput, packet delivery ratio, end to end delay, packet overhead and packet dropping rate

Performance Evaluation of Mobility Models over UDP Traffic Pattern for MANET Using NS-2

                                                                                                                  تعرض الدراسة الحالية دراسة وتقييم نماذج محاكاة شبكة الـ MANET على نمط حركة UDP لتحديد تأثيرات نمط الحركة هذا على نماذج التنقل في MANET والتي يتم تنفيذها في محاكي الشبكة NS-2.35 وفقًا لمقاييس الأداء المختلفة (الإنتاجية، نسبة الحزم المنقولة من المصدر الى الهدف  (PDF)، تحميل التوجيه الطبيعي (NRL) و زمن التأخير من نهاية إلى نهاية (AED)) مع مختلف المعلمات مثل السرعات المختلفة، ومناطق بيئة مختلفة، وعدد مختلف من العقد، ومعدلات مرور مختلفة، ومصادر مختلفة للحركة، اختلاف وقت التوقف وأوقات محاكاة مختلفة. نستخدم بروتوكول التوجيه AODV ونموذج نقطة الطريق العشوائية (RWP)، نموذج مجموعة نقاط المرجعي (RPGM)، نموذج غاوس ماركوف (GMM) ونموذج شبكة مانهاتن (MGM) ونماذج التنقل مع نمط الحركة CBR. تُظهر نتائج المحاكاة أن أداء بروتوكول التوجيه مع نموذج نقطة مجموعة المراجع RPGM هو الأفضل مقارنةً بنماذج التحرك الأخرى.  The current study presents the simulative study and evaluation of MANET mobility models over UDP traffic pattern to determine the effects of this traffic pattern on mobility models in MANET which is implemented in NS-2.35 according to various performance metri (Throughput, AED (Average End-2-end Delay), drop packets, NRL (Normalize Routing Load) and PDF (Packet Delivery Fraction)) with various parameters such as different velocities, different environment areas, different number of nodes,  different traffic rates, different traffic sources, different pause times and different simulation times .  A routing protocol.…was exploited AODV(Adhoc On demand Distance Vector) and RWP (Random Waypoint), GMM (Gauss Markov Model), RPGM (Reference Point Group Model) and MGM (Manhattan Grid Model) mobility models above CBR traffic sources. The results of Reference Point Group Model simulation illuminate that routing protocol performance is best with RPG mobility model than other models

RGIM: An Integrated Approach to Improve QoS in AODV, DSR and DSDV Routing Protocols for FANETS Using the Chain Mobility Model

Flying ad hoc networks (FANETs) are a collection of unmanned aerial vehicles that communicate without any predefined infrastructure. FANET, being one of the most researched topics nowadays, finds its scope in many complex applications like drones used for military applications, border surveillance systems and other systems like civil applications in traffic monitoring and disaster management. Quality of service (QoS) performance parameters for routing e.g. delay, packet delivery ratio, jitter and throughput in FANETs are quite difficult to improve. Mobility models play an important role in evaluating the performance of the routing protocols. In this paper, the integration of two selected mobility models, i.e. random waypoint and Gauss–Markov model, is implemented. As a result, the random Gauss integrated model is proposed for evaluating the performance of AODV (ad hoc on-demand distance vector), DSR (dynamic source routing) and DSDV (destination-Sequenced distance vector) routing protocols. The simulation is done with an NS2 simulator for various scenarios by varying the number of nodes and taking low- and high-node speeds of 50 and 500, respectively. The experimental results show that the proposed model improves the QoS performance parameters of AODV, DSR and DSDV protocol

A Survey on Performance Analysis of AODV in MANETS

Mobile Ad-Hoc Network (MANET) is a temporary network built up to satisfy momentarily certain condition. This paper gives an introduction to one of the MANET reactive routing protocol AODV i.e. Adhoc on demand distance vector routing protocol. It also includes general working of AODV protocol .It also includes survey of performance of AODV protocol depending on different input parameters. This paper also present NS2 simulator being used in simulating it?s performance