Intermission-based adaptive structure estimation of wireless underwater networks

Abstract

Performing distributed computation over underwater wireless sensor networks is challenging because no particular node may know the exact network size and structure. Recent techniques for estimating network structure or size are impractical for accomodating underwater networks made of a combination of fixed and mobile sensors. A solution is proposed to estimate dynamic network structures based on node-to-node intermissions. The current approach is more general than existing techniques and it enables distributed computing over underwater networks. In particular, broadcasts are considered and an adaptable network-structure estimation technique is derived. Simulation results support the proposed solution.

Effect of bandwidth in cross-correlation based underwater network size estimation

“…These methods are designed for RFID as well as terrestrial network and not applicable to underwater network due to large propagation latency, non-negligible capture effect, high path loss and limited bandwidth of underwater environment [11]. For underwater wireless network, a dynamic network structure estimation technique has been proposed by Blouin [12] based on intermission between the nodes. ALOHA based node estimation techniques have been investigated by Howlader et al [13]- [15] for underwater network considering long propagation delay and capture effect.…”

“…ALOHA based node estimation techniques have been investigated by Howlader et al [13]- [15] for underwater network considering long propagation delay and capture effect. As these size estimation techniques ( [12]- [15]) utilize some aspect of communications protocol(s), they suffer from protocol complexity in underwater environment.…”

Cross-correlation based approach for counting nodes of undersea communications network considering limited bandwidth

“…Howlader et al [21]- [23] provided a more comprehensive solution by considering both capture effects and long propagation delays for estimating underwater network size. Additionally, Blouin [24] explored a size and structure estimation method based on node-to-node intermissions, enabling distributed computation in underwater networks. The protocol dependency of these methods [21]- [24] adds complexity to underwater network node estimation, making practical implementation difficult.…”

“…Additionally, Blouin [24] explored a size and structure estimation method based on node-to-node intermissions, enabling distributed computation in underwater networks. The protocol dependency of these methods [21]- [24] adds complexity to underwater network node estimation, making practical implementation difficult.…”