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- Title
A new spatial IP assignment method for IP-based wireless sensor networks.
- Authors
Chang, Ray-I; Chuang, Chi-Cheng
- Abstract
Wireless sensor networks (WSNs), one of the commercial wireless mesh networks (WMNs), are envisioned to provide an effective solution for sensor-based AmI (Ambient Intelligence) systems and applications. To enable the communications between AmI sensor networks and the most popular TCP/IP networks seamlessly, the best solution model is to run TCP/IP directly on WSNs (Mulligan et al. ; Hui and Culler ; Han and Mam ; Kim et al. ; Xiaohua et al. ; Dunkels et al. ; Dunkels et al. ; Dunkels ; Dunkels et al. ). In this case, an IP assignment method is required to assign each sensor node a unique IP address. SIPA (Dunkels et al. ) is the best known IP assignment method that uses spatial relations and locations of sensor nodes to assign their IP addresses. It has been applied in Contiki (Dunkels et al. ), a famous WSN operating system, to support the 6LowPAN protocol. In Chang et al. (), we proposed the SLIPA (Scan-Line IP Assignment) algorithm to improve the assignment success rate (ASR) obtained by SIPA. SLIPA can achieve a good ASR when sensor nodes are uniformly distributed. However, if sensor nodes are deployed by other distributions, the improvements would be limited. This paper proposes a new spatial IP assignment method, called SLIPA-Q (SLIPA with equal-quantity partition), to improve SLIPA. Experiments show that, by testing the proposed method 1,000 times with 1,000 randomly deployed sensor nodes, the average ASR obtained by SLIPA-Q is over two times of that obtained by SLIPA. Under the same 88% ASR, the average numbers of sensor nodes those can be successfully assigned by SLIPA-Q, SLIPA, and SIPA are 950, 850, and 135, respectively. Comparing to previous spatial IP assignment methods, SLIPA-Q can achieve dramatic improvements in ASR for assigning IP addresses to a large set of sensor nodes.
- Subjects
WIRELESS sensor networks; INTERNET protocols; MESH networks; AMBIENT intelligence; COMPUTER operating systems
- Publication
Personal & Ubiquitous Computing, 2012, Vol 16, Issue 7, p913
- ISSN
1617-4909
- Publication type
Article
- DOI
10.1007/s00779-011-0446-5