Using middleware to bridge the gap between applications and low-level constructs is a novel approach to resolving many wireless sensor network issues and enhancing application development. This survey discusses representative WSN middleware, presenting the state of the research. The emerging field of tiny, networked sensors offers an unprecedented opportunity for a wide spectrum of various applications. These tiny sensor nodes are low cost, low power, and easily deployable. When combined, they offer numerous advantages over traditional networks, such as a large-scale flexible architecture, high-resolution sensed data, and application adaptive mechanisms. However, due to their tight integration to the physical world and the unique characteristics we've mentioned, sensor networks pose considerable impediments and make application development nontrivial. A middleware layer is a novel approach to fully meeting the design and implementation challenges of wireless sensor network technologies. Consider WSN middleware as a software infrastructure that glues together the network hardware, operating systems, network stacks, and applications. A complete middleware solution should contain a runtime environment that supports and coordinates multiple applications, and standardized system services such as data aggregation, contro
To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.