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Wireless M2M communication is about enabling the flow of data between machine and machine and ultimately between machine and people. For communication it is necessary to trace the Machine–Type-Communication (MTC) device successfully so novel energy and memory efficient location update scheme for wireless M2M communication is studied which is more efficient for a MTC device to perform location updates only when new nodes are added into the network to avoid call dropping ratio. Flexible and distributed Wireless M2M communication is robust and rapidly deployable/reconfigurable, so they are highly appealing for a lot critical applications, like deep space communication, disaster relief, battlefield communication, outdoor mining, car that react in real time to prevent accidents etc. This paper presents different paging algorithms that are studied on the basis of certain parameters such as endto-end delay, compression rate, data transmission energy and call-mobility-ratio. Least Recent Used (LRU) algorithm is implemented for optimally pruning the nodes from the network for efficient location update which is considered as the best paging algorithm.

IMPLEMENTATION OF LRU ALGORITHM FOR LOCATION UPDATE IN WIRELESS M2M COMMUNICATION