# A Novel Interference Aware Optimized Link State Routing Protocol for Power Heterogeneous MANETs

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3 where d is the distance between transmitter and receiver. For each zone, we assign an interference weight which represents the interference level that a node present in this zone causes to the considered node in the center. If the weight of interference of zone1 is 1, the interference weight of zone2, zone3 and zone4 are α, β, Ɣ respectively (Ɣ <β<α<1). We can calculate the interference of a node u in MANET as follows: I(u) = n1 + α.n2 + β.n3 + Ɣ.n4 where n1, n2, n3 and n4 are the number of nodes in zone 1, zone 2, zone 3 and zone 4 respectively. D. IAOLSR protocol design 1,Specifying n1, n2, n3, and n4 Each node of MANET has a coordinate (x,y). Supposed that the coordinate of u, v is (x1,y1), (x2,y2), respectively. (x1-x2) 2 + (y1-y2) 2 The above formula is used to calculate the distances between u and all other nodes in MANET. After comparing those distances to R1, R2, R3, and R4 we will have the number of nodes in zone1, zone2, zone3, and zone4 of node u. In IAOLSR, topology information of MANET is maintained and updated by each node. When any node changes its status, its information and position are updated. The distances between it and other nodes are recalculated. Therefore, interference of nodes and links is recomputed too. 2)Modelling MANET as a weighted graph MANET can be considered as a weighted graph (Figure 2) where nodes of MANET are vertices of the graph and the edges of the graph are any two neighbor nodes. The weight of each edge is the interference level of the corresponding link. This graph is dynamic. The edges and the weight of them are changed when any node changes its status. 3)Using Dijsktra's algorithm Applying Dijsktra's algorithm to the weighted graph above we will have the minimum interference path from a source to a destination. In the Figure 2, we illustrate an example for MANET that is considered as a weighted graph. The weight of each edge is set on the edge. Figure 2. IAOLSR example III. PERFORMANCE EVALUATION A. Simulation environment The channels. The traffic source is Constant protocol is implemented in NS2 with 10Mbps Bit Rate (CBR). The distributed coordination function (DCF) of IEEE for wireless LANs is used as the MAC layer. The TwoRay Ground and the Random Waypoint models have been used as propagation model and mobility model, respectively. B. Simulation results In the simulations, we compare the performance between IA-OLSR, the original OLSR and OLSRfeedback (OLSRFB) for: 1Packet delivery fraction (PDF) 2Routing overhead 3Normalized routing load(nrl) As shown in Figure 3, the PDF of IAOLSR can be about 34% higher than that of the original OLSR and that of OLSRFB. The PDF of IAOLSR is higher than the original OLSR and OLSRFB because IAOLSR has lower interference. Routing overhead of IAOLSR is about 8% lower than that of the original OLSR and that of OLSRFB as shown in Figure 4. For the reason that the number of the lost packets of the original OLSR and OLSRFB is higher than those of IA-OLSR therefore retransmissions of the original OLSR and OLSRFB increase. Figure 5 shows that the NRL of IAOLSR has the ability to decrease about 43% compared to that of the original OLSR and to that of OLSRFB. That is because routing overhead of IAOLSR is lower and the number of packets of IAOLSR is lost less than those of the original OLSR and OLSRFB. 248

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