LSVS: Bringing Layer Slicing and Virtual Sinks to Geographic Opportunistic Routing in Strip WSNs

Motivated by the needs of WSNs with strip structure that is ubiquitous in real world deployment, such as pipeline monitoring, water quality monitoring and GreatWall monitoring, this paper presents a new geographic opportunistic routing to cope with the routing problem that is the transmission success rate will decrease in the complicated strip networks. In this paper, depending on investigating the transmission direction, we propose a new candidate selection algorithms S2 and an improved algorithm S3. These two algorithms bring layer slicing and virtual sinks to improve the transmission success rate in strip WSNs. Based on the above candidate selection algorithms, we propose the LSVS routing mechanism, theoretical analysis and extensive simulation illustrate the efficiency and higher transmission performance of routing in strip WSNs. Compared with the classic algorithm, LSVS with S3 improves the transmission successful rate up to 12.6%, reduces the communication overhead up to 6.0% and the energy consumption rate up to 14.3%.