Impact of Bloom Filter in wireless network

In wireless communication, a device can access the network services whenever it is within range. Thus, it is easy to join a network for a malicious node. The topology of the wireless network is very dynamic. Hence, locating a node is complex. A wireless network has to spend more time on broadcasting messages to keep all nodes updated about devices, services, and other information. Transmitting big messages requires more bandwidth. Also, frequent broadcasting increases traffic. Hence, wireless communication is exploring Bloom Filter to solve the above issue. Bloom Filter is a probabilistic data structure primarily used for filtering. It has a simple architecture and constant time complexity. A small-sized Bloom Filter stores a lot of information to reduce the broadcasting packet size. This chapter discusses the role of Bloom Filter in wireless communication: wireless sensor network, MANET, VANET, and IoT. The chapter also includes reviews of various Bloom Filter techniques to solve various issues to improve the performance of wireless communication.