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In the MANET, mobile nodes have restricted energy level, so it is very difficult to proceed the communication in a stable manner. The restricted energy level of the node causes poor lifetime of network. These mobile nodes are unrelated with each other, so very difficult to maintain the routing process. The optimized routing only focuses on packet success but does not focus the packet transmission latency, causes the load. A few nodes uses maximum energy causes the network fold down. So, Proposed Improved multi objective data transmission (IMD) technique is applied to balance the load. This technique forwards data in multiple flow manners to various paths. This scheme uses the node for routing process has similar energy node. The conventional route selection algorithm is constructed for data packets are transmitted to different addresses may pursue dissimilar paths. The dissimilar paths are many paths which activities are varied. Every individual path having similar energy nodes, these will manage the overload during communication period. This minimize packet loss rate, and energy consumption, also improves the packet delivery ratio. [ABSTRACT FROM AUTHOR]

Mobile Adhoc network is a network, which has advances of dynamic topology, mobility of nodes and congestion control. It is also an infrastructure less networks. This paper "Congestion control and packet Recovery for cross layer approach" is proposed. Traffic of packets occurred due to congestion and contention problems are reduced in datalink layer and transport layer. Also ensuring that, the superior performance of congestion is a challenging model due to changes in link layer contentions, topological changes and characteristic of wireless channel. The features of this model were localized packet recovery, deterministic, ability to trade of efficiency and peer to peer recovery. It can retrieve the missing packets by storing the copy of packet. Also by assigning priority order to the packets, data traffic congestion rate of higher and lower priority packets are maintained. This will develop the high priority flow to get desired access to the medium and its flow rate of low priority is adjusted, in order to have high flow rate of higher priority. Therefore the overall performance gives the better result than existing method. The simulation of CCPRCLA is verified using ns2 simulator, then graph and experimental results are discussed. [ABSTRACT FROM AUTHOR]