Enhanced AODV Routing Protocol for Mobile Adhoc Networks

Author(s):  
K. R. Shobha ◽  
K. Rajanikanth
2012 ◽  
Vol 3 (2) ◽  
pp. 419-423
Author(s):  
JARUPULA RAJESHWAR ◽  
Dr G NARSIMHA

A freely moving nodes forming as group to communicate among themselves are called as Mobile AdHoc Networks (MANET). Many applications are choosing this MANET for effective commutation due to its flexible nature in forming a network. But due to its openness characteristics it is posing many security challenges. As it has highly dynamic network topology security for routing is playing a major role. We have very good routing protocols for route discovery as well as for transporting data packers but most of them lack the feature of security like AODV. In this paper we are studying the basic protocol AODV and identify how it can be made secure. We are studying a protocol S-AODV which is a security extension of AODV which is called Secure AODV (S-AODV) and we are studying enhanced version of S-AODV routing protocol a Adaptive Secure AODV (A-SAODV). Finally we have described about the parameter to be taken for performance evaluation of different secure routing protocols


2019 ◽  
Vol 20 (4) ◽  
pp. 653-662 ◽  
Author(s):  
Suresh Kumar ◽  
Kiran Dhull ◽  
Deepak Sharma ◽  
Payal Arora ◽  
Sandeep Dahiya

Adhoc Wireless Sensor Networks (AWSN’s) have found an increasing utility in various applications. In AWSN, sensor nodes are arranged in a topology which is suitable to the requirement of the nature of task. As the sensors are not connected in a fixed manner, their networking, location and functioning keeps on changing based on the situation due to which these are called Adhoc networks. The biggest challenge is to keep the sensors working for longer life by conserving their energy. Therefore, a suitable routing protocol needs to be selected to meet the energy conservation requirement at different nodes. In the present paper, we have evaluated the three energy conservation models i.e. Generic, Micaz and Micamotes for AODV and DYMO routing protocol. The evaluation is carried out using the parameter metrices: (i) Average End-to-End Delay (AEED), (ii) Throughput (iii) Energy consumed in Transmit mode and Receive mode. Based on the simulation results, it has been observed that Micamotes energy model using AODV routing protocol performs better in terms of energy consumption upto 42.99% and 29.90 % in transmit and upto 59.24% and 33.96 % in receive mode respectively as compared to Generic and Micaz energy model.


2019 ◽  
Vol 8 (2) ◽  
pp. 4187-4194

Usually, the nodes in Mobile Adhoc Networks (MANET) are bounded with the limited power resources to interact with each other nodes without any backbone infrastructures. As a result, an allocation of unbalanced traffic among nodes may increase the power dissipation in the overloaded nodes and path failures that degrade the network lifetime. To tackle this problem, an on-demand Power and LoadAware (PLA) multipath node-disjoint source routing scheme was proposed based on the Dynamic Source Routing (DSR) protocol that uses a new cost function to determine the multiple nodedisjoint power and select the load-aware optimal paths to their destinations. However, this protocol was affected by control overhead and the reliable packet delivery was also not effective. Hence in this article, Power and Load-aware i.e., Utility-Aware Reliable Opportunistic Routing (UAROR) protocol is proposed to enhance the efficiency and reliability of the routing protocol. In this protocol, topology control and link lifetime prediction algorithms are integrated into the PLA algorithm to predict the effect of the node mobility on routing performance. The link prediction algorithm considers both mobility speed and direction for improving the accuracy. As well, an opportunistic topology control algorithm uses packet delivery ratio to maintain the node’s stability. Moreover, Utility-Aware Enhanced ROR (UAEROR) protocol is proposed to improve the node’s stability and reduce the control overhead by employing the neighbor detection algorithm that uses degree and reachability of nodes. Finally, the simulation results show that the effectiveness of the proposed protocol compared to the existing protocol in terms of throughput, end-to-end delay, packet delivery ratio, network lifetime, energy consumption and control overhead


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