Modeling Routing Overhead Generated by Wireless Proactive Routing Protocols

In this paper, we present a detailed framework consisting of modeling of routing overhead generated by three widely used proactive routing protocols; Destination-Sequenced Distance Vector (DSDV), Fish-eye State Routing (FSR) and Optimized Link State Routing (OLSR). The questions like, how these protocols differ from each other on the basis of implementing different routing strategies, how neighbor estimation errors affect broadcast of route requests, how reduction of broadcast overhead achieves bandwidth, how to cope with the problem of mobility and density, etc, are attempted to respond. In all of the above mentioned situations, routing overhead and delay generated by the chosen protocols can exactly be calculated from our modeled equations. Finally, we analyze the performance of selected routing protocols using our proposed framework in NS-2 by considering different performance parameters; Route REQuest (RREQ) packet generation, End-to-End Delay (E2ED) and Normalized Routing Load (NRL) with respect to varying rates of mobility and density of nodes in the underlying wireless network

Identifying Design Requirements for Wireless Routing Link Metrics

In this paper, we identify and analyze the requirements to design a new routing link metric for wireless multihop networks. Considering these requirements, when a link metric is proposed, then both the design and implementation of the link metric with a routing protocol become easy. Secondly, the underlying network issues can easily be tackled. Thirdly, an appreciable performance of the network is guaranteed. Along with the existing implementation of three link metrics Expected Transmission Count (ETX), Minimum Delay (MD), and Minimum Loss (ML), we implement inverse ETX; invETX with Optimized Link State Routing (OLSR) using NS-2.34. The simulation results show that how the computational burden of a metric degrades the performance of the respective protocol and how a metric has to trade-off between different performance parameters

ROUTE OPTIMIZATION IN NESTED MOBILE NETWORKS (NEMO) USING OLSR

International audienceInternet edge mobility has been possible for a number of years: mobile IP[8], allows a host to change its point of at- tachment to the Internet and NEMO [6] allows the same functionality for a group of hosts along with a mobile router. The virtue of NEMO and mobile IP is transparency: a host remains identifiable through the same IP address, and traffic sent to that IP address will be tunneled to arrive at the intended node. NEMO allows "nested networks": a mobile network which attaches to another mobile network to arbitrary depth. However for each level of nesting, traffic is encap- sulated and tunneled to reach the destination. This leads to increased overhead (encapsulation) and to sub-optimal paths (tunneling without consideration for the actual net- work topology). In this paper, we investigate route-optimization in nested NEMO networks. We employ an ad-hoc routing protocol between mobile routers to ensure shortest routes when both source and destination for traffic is within the nested NEMO network. The mechanism also simplifies the requirements for route optimization when the source node is located outside of the nested NEMO network