Grid Computing is a concept, a network, a work in progress, part hype and part reality, and it is increasingly capturing the attention of the computing community. It uses clusters of personal computers, servers or other machines. They link together to tackle complex calculations. In part, grid computing lets companies harness their unused computing power, or processing cycles, to create a type of supercomputer. Wireless grids extend the capability of grid computing to wireless devices. The number of users using laptops, PDAs, cell phones, and other wireless devices is increasing leading to more networked wireless devices, and creating a vast collective potential of unexploited resources. Wireless grid computing with its model of coordinated resource sharing may provide a way to utilize such resources that are normally distributed throughout a grid. We may have Gridnet in the future as we have Internet today. This paper presents a state-of-the-art review of wireless grid computing. while the resources of these devices can be processor, memory, bandwidth, code repositories, softwares, etc. (5). Generally wireless devices are characterized by reduced CPU performance, small secondary storage, heightened battery consumption sensitivity, and unreliable low-bandwidth communication. But these devices also may include such additions as cameras, microphones, bar code and RFID readers, GPS receivers and satellite receiver/ transmitters as well as a wide variety of special purpose sensors. Among the many types of sensors currently available are those that measure temperature, air pressure and humidity, those that detect movement, and those that measure radiation and particulate levels. In general characteristics of wireless grid can be summarized as follows: • No centralized control. • Consists of small, low powered devices. • Includes heterogeneous resources, applications and interfaces.