In recent years there is advancement in thecomputer performance, technologies in mobile communications. Wireless networkswant networks in which mobile nodes will connect over line.
In MANETs, networksafety is essential by that the battery extent of the nodes be not strong. Thusto continue the network span the routing protocol is needed to increment theintensity of the node. Multiple routing protocols stay paths to flood thepackets i.e., route appeal is managed by the point of supply to achieve realityin concerning the ways.
MANETs will be classified into three generations:first, second and third generations. In 1970’s the ad hoc network firstgeneration are called Packet Radio Network (PRNET). In early 1980’s SurvivableAdaptive Radio Network (SURAN)is evolved from PRNET. The function pack ofMANETs formed the routing code regulated and fix the agents like PDA’S, palmtops,notebooks. Few codes like Bluetooth, IEEE 802.11(WLAN’S) are developed tomaintain the MANETs. For several years from 1970’s to 1990’s there are changesin the generations of MANET i.e.
, finally some standards are made to maintainthe MANET. Energy efficiency is to be regarded as a factor in MANET. Mainly thepackets are transmitted based on the: · Distanceof the route· ResidualEnergy of the node.Thus the routethat is efficient and likely in transmitting packets can be identified. Routeappeal is controlled by the source to discover the route that is suited. Allthe ways that are made can be find .
The facts about the nodesenergy aligned and the connections are directed to accomplish the Route Reply.At any time the channel breaks, the Route Error is transmitted.When this occursthe source transmit the package over the path to the destination without anyinterruption.
This can be done with the multipath routing protocol which are referredto the one path routing protocol. In one path routing once the link splits thepackets cannot be transmitted. Whereas in multiple routing additional routescan be refered to send the data packets. Particle Swarm Optimization (PSO) isthe algorithm from which the fitness function is derivative. Fitness Functionis mostly used to find the optimal path.
The optimum path is the one with:· Lessdistance and· Exhaustless energy. The optimal path minimizes theenergy loss and increases the network period. Thus the proposed FF-AOMDVperformance in maximizing the network lifetime is possible in comparison withthe AOMDV.