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The simulations show that the proposed routing scheme behaves better in attack resistance (i.e., gray-hole attack and black-hole attack), and makes an improvement on the packets delivery ratio, routing packets overhead, route discovery frequency and malicious node detection.
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In this paper, we propose a performance evaluation framework that can be used to model two key performance metrics of an ad hoc routing algorithm, namely, routing overhead and route optimality.
In this context, this paper proposes a performance evaluation framework to model the two most widely-used performance metrics of wireless ad hoc routing algorithms [8], namely, routing overhead and route optimality.
Routing overhead and route optimality are the two baseline metrics and several other performance metrics may be derived from them.
We now provide formal definitions of routing overhead and route optimality that are used in this paper.
We only model a purely stochastic rebroadcasting approach in order to compare its routing overhead and route optimality characteristics with a plain flooding approach.
The derivatives of routing overhead and route optimality are described in Section 7. We summarize key conclusions of this work in Section 8. To counter the inherently unreliable nature of ad hoc networks, Tsirigos and Haas propose a routing scheme that makes use of multiple simultaneous paths [9].
Compared with other neighbor-based routing protocols such as Dynamic Source Routing (DSR) [15] and Ad-Hoc On-Demand Distance Vector Routing (AODV) [16], the geographic routing can reduce the communication overhead during route search procedure [1, 2].
In Location Aided Routing (LAR) [16] protocol the overhead of route discovery is decreased by utilizing location information of mobile nodes.
Cluster Based Routing Protocol (CBRP) [13, 14], an on demand source routing protocol, divides clusters into nodes and decreases control overhead during route discovery.
This chapter sets out a practical sequence for planning and then establishing a major overhead line route, starting with consultation on local regulations, developing a preliminary routing, optimization, and concluding with a detailed line survey and profile.
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