Abstract
The nodes in a wireless network are responsible for both sending their traffic as well as relaying the traffic of other nodes in the network. This form of collaboration between the nodes is essential for the proper delivery of data. Without fair participation of all nodes in the routing process, some nodes may lose their energy reserves at a high rate compared to other nodes in the network. However, bandwidth and energy are not the only issues in wireless networks; survivability and reliability are critical as well. Our focus in this work is on two link state routing protocols; OLSR and TLR. We study the effect of using these protocols on the survivability and the reliability of wireless networks. Both analytical and simulation work show that TLR results in better performance due to the inherent energy aware approach and the traffic partition used to reduce congestions in the network.
Highlights
In mobile ad-hoc networks, a set of nodes collaborate with each other to guarantee proper communication between any pair of nodes in the network
We study the effect of using these protocols on the survivability and the reliability of wireless networks
In [7], we proposed a Link State Routing protocol based on the Optimized Link State Routing (OLSR) [4]
Summary
In mobile ad-hoc networks, a set of nodes collaborate with each other to guarantee proper communication between any pair of nodes in the network. Many energy aware routing algorithms were proposed with the aim of improving the survivability of the network by routing packets from their sources to the destinations with the minimal amount of energy. The routes with the least battery cost among all candidate routes are selected Another algorithm is Simple Energy Aware Dynamic Source Routing (SEADSR) [3]. Which a node, upon receiving the RREQ, incorporates a delay that is proportional to its energy level This is done because DSR, by design, does not use cost functions in route selection. When the routing nodes move out of the range, the packets in transit will either be dropped or delayed and this affects the performance of the network Another analysis that is given in [9] studies the effect of mobility on the availability of the paths.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
