Determining the network throughput and flow rate using GSR and AAL2R
In multi-radio wireless mesh networks, one node is eligible to transmit packets over multiple channels to different destination nodes simultaneously. This feature of multi-radio wireless mesh network makes high throughput for the network and increase the chance for multi path routing. This is because the multiple channel availability for transmission decreases the probability of the most elegant problem called as interference problem which is either of interflow and intraflow type. For avoiding the problem like interference and maintaining the constant network performance or increasing the performance the WMN need to consider the packet aggregation and packet forwarding. Packet aggregation is process of collecting several packets ready for transmission and sending them to the intended recipient through the channel, while the packet forwarding holds the hop-by-hop routing. But choosing the correct path among different available multiple paths is most the important factor in the both case for a routing algorithm. Hence the most challenging factor is to determine a forwarding strategy which will provide the schedule for each node for transmission within the channel. In this research work we have tried to implement two forwarding strategies for the multi path multi radio WMN as the approximate solution for the above said problem. We have implemented Global State Routing (GSR) which will consider the packet forwarding concept and Aggregation Aware Layer 2 Routing (AAL2R) which considers the both concept i.e. both packet forwarding and packet aggregation. After the successful implementation the network performance has been measured by means of simulation study
A Comparative Performance Analysis of Routing Protocols in MANET using NS3 Simulator
Due to frequent topology changes and routing overhead, selection of routing protocol in Mobile Ad-hoc Network (MANET) is a great challenge. A design issue for an efficient and effective routing protocol is to achieve optimum values of performance parameters under network scenarios. There are various routing protocols available for MANET. This paper involves study of four routing protocols (Ad-hoc On Demand Distance Vector Routing, Optimized Link State Routing, Dynamic Source Routing and Distance Sequenced Distance Vector), and performance comparisons between these routing protocols on the basis of performance metrics (throughput, packet delivery ratio, Packet dropped, jitter and end to end delay measured after simulation of network) with the help of NS3 Simulator.
Architecture and Implementation of An Information-Centric Device-to-Device Network
Today’s mobile devices almost exclusively connect to infrastructures for communications and information access; but advances such as AirDrop andWiFi Direct are bringing deviceto-device communication to the forefront of mobile computing. Self-organizing ad hoc mobile networks have a wide range of applications in scenarios where infrastructure is not available or with limited bandwidth, such as communications in the aftermath of natural disasters, censorship resistant communications, and battlefield communications. In this paper, we propose an information-centric device-to-device network, called ICD2D. The network is distributed and requires no centralized coordination. For each published item of data, the system creates a metatdata; a publish-subscribe mechanism disseminates the metadata and facilitates filtering information in a distributed fashion. We implemented a full-featured system on NS3. Evaluations show significant improvement in successful information retrieval compared with OLSR (Optimized Link State Routing), a common approach to ad hoc routing.
Increasing network lifetime by energy-efficient routing scheme for OLSR protocol
One of the main considerations in designing routing protocols for Mobile Ad-Hoc Network (MANET) is to increase network lifetime by minimizing nodes’ energy consumption, since nodes are typically battery powered. Many proposals have been addressed to this problem; however, few papers consider a proactive protocol like Optimized Link State Routing Protocol (OLSR) to better manage the energy consumption. Some of them have explored modifications to the MPRs selection mechanism, whereas others have investigated multiple cross layer parameters to increase the network lifetime. In this paper, we explored both modification to MPR selection and integrating appropriate routing metrics in the routing decision scheme to lessen effects of reason that lead to more energy consumption. Our power-aware version of OLSR is proven by simulations in NS3 under a range of different mobile scenarios. Significant performance gains of 20% are obtained in network lifetime for our modified OLSR and little to no performance gains in term of Packet Delivery Ratio (PDR).
An NS3 Implementation of physical layer based on 802.11 for utility maximization of WSN
A Technology require to meet customer demands and improve the performance in WLAN 802.11.Wireless is a scalable, reliable and cost effective technology which can be used to implement 802.11 for utility maximization of WSN. Integrate physical layer simulator for OFDM-based IEEE 802.11 communication in a network simulator. We implement OFDM-based IEEE 802.11 standard, more precisely, for the orthogonal frequency division multiplexing (OFDM) PHY specification for the 5 GHz band. PhySim-Wifi is a detailed and accurate implementation of the OFDM-based IEEE 802.11 standard, with higher fidelity at the physical layer than found in NS3. It can be used as replacement for the official YansWifiPhy implementation when higher simulation accuracy is required in NS3. Which will provide channel related access information in dynamic network scenario. This can lead to a programmable interface for management and control of physical layer and network layer resources in an optimal fashion.