Research On Communication For Mobile Objects Based On Sensor Network

Wireless Micro Sensor network (WMSN), which is made by the convergence of sensor, nested computation and network technologies, is a novel technology for acquiring and processing information. It is a late-model wireless networks of non-infrastructure network and can be used for testing, sensing, collecting and processing information of monitored objects. More and more academic researchers from industry are engaged in the development of WMSN due to the great promise and potential in many application areas. And it has become a new kingdom of computer science with great foreground.Although WMSN has a great future, a remarkable character, limited by energy, puzzles all the researchers and it has become the bottle-neck. How to save energy, especially to save energy for sending the data, and extend the life of WMSN becomes a hotspot all over the world. Many researchers have declared the fact that energy consumption will increase with the square of the distance that the data is transmitted for the wireless signals. And it will be exponent for the underwater acoustic communication. So short ranges multi-hop, rather than single hop, is widely used in WMSN to save energy. And it works well for the communication among sensor nodes because they are immobile. For the mobile objects, they can move from one place to another. So it becomes very common that the mobile object has moved before the message reaches its destination. Then the transmission will be failed. Based on these facts, two message forwarding approaches namely push and pull, are explored to design adaptive and reliable message delivery protocols for mobile objects. In push model, the network maintains the location of the mobile object. Any sensor node, if ithas data to be transferred to the object, will package the data into message and push it to the current location of the target object. While in pull model, the node will buffer its data until it receives the queries from the object.This paper dwells on a push model algorithm for the dissymmetrical sensor network and analyzes the performance of the two models. And then analyzes the pros and cons of the flooding, push model and pull model algorithm for the symmetrical sensor network. Simulation results validate our conclusions.According to the critical term deduced in section 4, the push model performs better than the pull model in most cases. And the term will be helpful for the future work in this area.