Mobility effects on the performance of mobile ad hoc networks

In this paper, we present the implementation and analysis of our implemented testbed considering the Optimized Link State Routing (OLSR) protocol for Mobile Ad hoc Networks (MANET). We investigate the effect of mobility and topology changing in the throughput of MANETs. We study the impact of best-effort traffic for Mesh Topology. Experimental time is 150 seconds. In this work, we consider 6 experimental models and we assess the performance of our testbed in terms of throughput, round trip time and packet loss. From our experiments, we found that the OLSR protocol has a good performance when the source node is moving. However, the performance is not good when the three relay nodes are moving.Peer ReviewedPostprint (published version

Performance Evaluation of MANET Routing Protocols: Simulations and Experiments

A Mobile Ad hoc Network (MANET) is a collection of wireless mobile terminals that are able to dynamically form a temporary network without any aid from fixed infrastructure or centralized administration. In this paper, we present the implementation and analysis of our implemented MANET testbed and simulation system considering Ad-hoc On demand Distance Vector (AODV) and Optimized Link State Routing (OLSR) protocols for wireless multi-hop networking. We investigate the effect of mobility and topology changing in MANET. We evaluate and compare the performance by simulation (using ns-2 simulator) and experiments in a real environment. In this work, we consider two models: stationary and mobile. We assess the performance of our testbed and simulation in terms of throughput, number of received packets and hop distance. From the results, we found that the AODV protocol has a good performance when the relay node is moving. Also, the AODV protocol provides a flexible and effective routing for indoor environments

The Contiki-NG open source operating system for next generation IoT devices

Contiki-NG (Next Generation) is an open source, cross-platform operating system for severely constrained wireless embedded devices. It focuses on dependable (reliable and secure) low-power communications and standardised protocols, such as 6LoWPAN, IPv6, 6TiSCH, RPL, and CoAP. Its primary aims are to (i) facilitate rapid prototyping and evaluation of Internet of Things research ideas, (ii) reduce time-to-market for Internet of Things applications, and (iii) provide an easy-to-use platform for teaching embedded systems-related courses in higher education. Contiki-NG started as a fork of the Contiki OS and retains many of its original features. In this paper, we discuss the motivation behind the creation of Contiki-NG, present the most recent version (v4.7), and highlight the impact of Contiki-NG through specific examples

Using SensLAB as a First Class Scienti c Tool for Large Scale Wireless Sensor Network Experiments

International audienceThis paper presents a description of SensLAB(Very Large Scale Open Wireless Sensor Network Testbed) that has been developed and deployed in order to allow the evaluation through experimentations of scalable wireless sensor network protocols and applications. SensLAB's main and most important goal is to o er an accurate open access multiusers scienti c tool to support the design, the development tuning, and the experimentation of real large-scale sensor network applications. The SensLAB testbed is composed of 1024 nodes over 4 sites. Each site hosts 256 sensor nodes with speci c characteristics in order to o er a wide spectrum of possibilities and heterogeneity. Within a given site, each one of the 256 nodes is able both to communicate via its radio interface to its neighbors and to be con gured as a sink node to exchange data with any other "sink node". The hardware and software architectures that allow to reserve, con gure, deploy rmwares and gather experimental data and monitoring information are described. We also present demonstration examples to illustrate the use of the SensLAB testbed and encourage researchers to test and benchmark their applications/protocols on a large scale WSN testbed