Mobile Ad-hoc network (MANET) is an ad-hoc wireless network with a routing network background typically located at the top of a link layer of the network. For the transmission of data routing protocols plays an essential role. Since the topology in MANET is not stable (nodes are moving) therefore routing as well as maintenance of the network is a challenging task. The difficulty that most of the researchers have analyzed is the energy consumed by the sensor nodes. The first problem of this research is to find a trust-based route so that the network can be protected against any additional cost used during the searching of an appropriate node. For this purpose, the Zone Routing Protocol (ZRP) routing mechanism with the concept of Artificial Bee Colony (ABC) algorithm has been used. Another problem that has been considered in this research is to protect the network from external attacks named as sinkhole attack. These attacks are also known as smart attack, as, when these attacks came into the network the sensor nodes do not know that whether the data is transmitted to the genuine node or to the malicious node. Therefore to resolve this problem, machine learning approach named as decision tree is used. The performance parameters are evaluated to measure the efficiency of the network. It has been determine that the Packet Delivery Ratio (PDR) of the proposed system has been increased by 1.19% compared to the existing work.

MANET, OLSR, ABC, Decision tree, sinkhole attack

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