No abstract

There exist many problems encountered in Mobile Networks such as security, energy, bandwidth and routing problems. All these problems are caused by the high mobility of nodes. The obj ective of this paper is to propose a new way for nodes' mobility measuring based on OLSR Protocol. The parameter used in the formula of nodes mobility calculation in the Mob-OLSR protocol is automated witch introduce a new version of Mob-OLSR called Mob-2-0LSR. This version helps improving the network performance. The impact of mobility and pause time on the behavior of the three versions of OLSR protocol: standard OLSR, Mob-OLSR, and Mob-2-0LSR is also examined.

<p>The first aim of this article is to find a Intelligent parameter which is based on mobility and Clustering. This metric  will be integrate in the selection process of MPRs to improve QoS in Manets networks. The unpredictable mobility and the large quantity of generated traffic by each node interface make communication in network increasingly difficult to manage. Thus, routing protocols need to be adapted to such conditions. In order to make OLSR protocol more robust, piercing and more adaptable to the conditions dictated by the environment of each node, this work proposes a polymorphic metric that changes depending on the network behavior. This metric aims to make the OLSR protocol best suited to each zone. The second objective of this article is to know the behavior of the new OLSR protocol version (SPEED OLSR) in environments with high mobility (pause time = 0).</p><p>To know the effectivity of the speed of the parameters have several criteria. Many simulations would be undergone by NS2 to test and prove the validity of this new metric in environments with high mobility and quantity of traffic</p>

<p><span id="docs-internal-guid-75ba661c-7fff-7cfb-9afe-b7c901c3fe82"><span>The most complex problems, in data science and more specifically in artificial intelligence, can be modeled as cases of the maximum stable set problem (MSSP). this article describes a new approach to solve the MSSP problem by proposing the continuous hopfield network (CHN) to build optimized link state protocol routing (OLSR) protocol cluster. our approach consists in proposing in two stages: the first acts at the level of the choice of the OLSR master cluster in order to quickly make a local minimum using the CHN, by modeling the MSSP problem. As for the second step, the objective is the improvement of the precision making a solution of efficient at the first rank of neighborhood as a linear constraint, and at the end, to find the resolution of the model using the CHN. We will show that this model determines a good solution of the MSSP problem. To test the theoretical results, we propose a comparison with a classic OLSR.</span></span></p>

Nowadays, Mobile networks offer a lot of advantages in terms of usage flexibility. However, they suffer from several problems such as the rapid change of network topology caused by the high mobility of nodes. More research has been done to measure the mobility of nodes with the objective to increase network performance. The work done in this paper concerns the improvement of the formula used in the routing protocol Mob-OLSR for measuring mobility of nodes by automating the setting. Herein, the improved protocol is called Mob-2-OLSR protocol.

Optimized Link State Routing (OLSR) is a proactive protocol designed to operate in Mobile Ad Hoc Networks (MANET). In this protocol, the topology is based on MultiPoint Relay (MPR) Mechanism. However, the loss of one or many MPRs caused by their movement affects the link state of the network. Therefore, the contribution of this paper is to keep the network links between the nodes and MPRs in stable state as long as possible. It was done by calculating a new parameter named Average Age of Death which estimates the life duration of MPRs. The experimental results illustrate that this parameter is affected by the environment (speed of node, network density and others). This result provides to use this parameter as a new mobility metric that can be used in the MPR sets Calculation.