Optimizing Storage for Energy Conservation in Tracking Wireless Sensor Network Objects

The amount of needed control messages in wireless sensor networks (WSN) is affected by the storage strategy detected events. Because broadcasting superfluous consumes excess energy, network lifespan can be extended if quantity decreased. In this study, an optimized technique having low overhead for tracking objects WSN introduced. basic concept to retain observed events internal memory and preserve relationship between sensed information nodes using a novel inexpensive data structure entitled Ordered Binary Linked List (OBLL). Whenever object passes over area, recognizing immediately produce OBLL along object’s route. To retrieve entire information, traversed with logarithmic complexity which much less than traversing existing linked list structures. Performance evaluation simulations were carried out ensure that suggested minimizes number thus saving energy extending life.