Energy Usage Solution of OLSR in Different Environment

One of the main issues in deploying the MANET scenario using simulation tools is how to adapt the MANET protocol setting to network scenarios such as the suitable number of mobile devices (number of nodes), network space area, data transmission rate, and the node mobility speed. This issue of adaption represents an important focus of research because, thus far, MANET protocol only works with fixed network settings, which may not be suitable in certain network scenarios. Premised on this critical situation, the main objective of this research is to implement the simulation scenario for the Ad hoc network using OLSR routing protocol. Once implemented, the energy usage and node keep alive of this Ad hoc network were tested and analyzed.

traffic pattern, and others. There is no single routing protocol that can perform optimally in all these situations. In addition, these networks are often dynamic, and their characteristics can evolve significantly over time. This section explores how the choice of protocol mechanisms and protocol parameters impacts on the network performance for a range of MANET scenarios. The discussion begins with the High_Mobility_Speed Scenario, followed by High_Data_Tranmission_Rate Scenario.

High_Mobility_Speed Scenario
High_Mobility_Speed Scenario refers to the scenario which was set up using high mobility speed (22.2 meter/sec) while High_Data_Tranmission_Rate Scenario was set up using high data transmission rate (45.0 packets per sec). Both scenarios consists of several cases which are differentiated with different size of network space (i.e. 400X400 unit, 600X600 unit 800x800 unit, and 1000X1000 unit). The results were elaborated based on how the elements, for example, the number of nodes, size of network space area, data transmission rate, and mobility speed influenced the energy usage, and the number of nodes keeps alive. Our discussion continued with the proposed matrix solution table. The proposed table was summarized based on simulation results from general setting of the simulation shown in Table 1. As mentioned earlier, the simulation for High_Mobility_Speed scenario has been set up with high mobility speed which is movement speed for each mobile nodes is determined as 22.2 meter/sec. All the simulation results for High_Mobility_Speed scenario is discussed in details in the following table. Table 2 interprets the energy usage values obtained for all cases under High_Mobility_Speed scenario. This table shows that the number of nodes that have a balance of energy has increased when the network space area increased. These results also show that higher data transmission rate will increase the energy used. This indicates that the number of dead nodes will decrease for a bigger network space area.
Electronic copy available at: https://ssrn.com/abstract=3571896  Table 3 summarizes the number of nodes that keep alive for all cases under High_Mobility_Speed scenario. The result shows that when the network space area increased, the number of nodes keeps alive is also increased. Similarly, when the number of nodes increased, the average number of live nodes will also be increased. The statement above has been illustrated as shown in Figure 1.

High_Data_Transmission_Rate Scenario
The High_Data_Transmission_Rate scenario has been set up using a high data transmission rate value of 45 packets/sec. In the following, we will discuss the simulation results for fixed setting of data transmission rate with various setting of network space and node speed.   Table 5 illustrates the entire values for the number of nodes that still keeps alive for all cases under High_Data_Transmission_Rate scenario. From the table, it shows that when the number of nodes increases, the average number of live nodes will also increase for 1000X1000 unit space area for the entire different data transmission rate (high, medium and low) except for node 10 at low data transmission. The results also show that when the network space area increases, the number of node alive also increases. Similarly, when we increased data transmission rate, the number of nodes that alive will be increase except for the node 10 at space 400X400 and 600X600 unit, 50 node at 600X600 unit, and 60 node at 800X800 unit will decrease. The statement above has been described as shown in Figure 2.

MATRIX SOLUTION TABLE
This section will discuss the proposed matrix solution table which is come out based on summarization from the results from all cases of High_Mobility_Speed and High_Data_Transmission_Rate scenario. These comprehensive tables will help to plan in more efficient network management.  Table 5 shows the matrix solution for all element involved energy usage and number of nodes keep alive for high, medium and low data transmission rate, for a number of nodes 10 to 60 at 400X400, 600X600, 800X800, and 1000X1000 unit space for high speed of mobility. For example, to send using high mobility speed at the high data transmission rate (critical), we can choose either 400X400 unit (for node 10), 600X600 unit (for node 10, 20, 30, and 50), 800X800 unit ( for all nodes except 30 node) and 1000X1000 unit (for all nodes).  Table 6 illustrate the matrix solution for high data transmission rate involves the element of energy usage and number of nodes keep alive for high, medium and low speed of the mobility, for the number of nodes 10 to 60 at unit space of 400X400, 600X600, 800X800, and 1000X1000 unit. This matrix solution that stated in Table 5 and Table 6 has proposed as a guideline in order to select the suitable element for the scenario that they want to set up for their research.

CONCLUSION
Conclusively, the results of the reports and analysis on the OLSR simulation scenario shows that the network elements or parameters such as number of nodes, the size of the network space, the mobility speed and data transmission rate will effects energy usage of each node in the network and the number of nodes keep alive. The end of this simulation scenario was proposed a new energy matrix based on the energy usage and the optimum numbers of nodes keep alive in networks with high mobility speed and high data transmission rate. This new energy matrix will used to design a suitable mobile network for specific purpose which is the energy usage will consider. This matrix solution table help researcher or decision maker to find the best value for each element to manage their network more efficiently.