Research Article

Improving Packet Delivery Performance in Water Column Variations through LOCAN in Underwater Acoustic Sensor Network

Table 1

Literature survey.

S. No.Author (year)UWASN routing algorithmAdvantages/disadvantagesRemarks

1Wang et al. [9]Energy-aware and void-avoidable routing protocol [9]Opportunistic directional forwarding strategy (ODFS), avoids cyclic transmission, flooding and voids; optimal trajectory of sink node to be optimizedWater temperature-based routing
2Toso et al. [10]Revisiting source routing [10]Scenario-independent and source-initiated routing can work in any connected topology without any prior information.
Overhead due to route discovery and maintenance
The water column variation for routing is left.
3Ghafoor and Koo [11]Cognitive software-defined networking- (SDN-) based routing [11]Stable route between the source node and destination node; large amount of energy required for spectrum sensingThe salinity-based routing is left.
4Bouabdallah et al. [12]Joint routing and energy management [12]Overcomes the energy sinkhole problem; uniform distribution of load (energy traffic)—even energy depletion and improves network lifespan; not suitable for UWASNs unless upgradedThe temperature of water-based routing is implemented.
5Coutinho et al. [13]Opportunistic routing algorithm [13]Candidate set selection and candidate coordination procedure redundant transmissions; sleep and awake time interval selectionThe wave front movement for routing is left.
6Coutinho et al. [14]Geographic and opportunistic routing with depth adjustment-based topology control for communication recovery over void regions (GEDAR) [14]Each node knows the location of all other nodes; reduces retransmission probability; minimizes collision; depth adjustmentWave front movement and salinity-based routing is implemented.
7ProposedLion optimized cognitive acoustic network (LOCAN)Solves spatial and TV; avoids Doppler and GS; reduces delay and packet lossThe water temperature, salinity, sedimentation drift, and water column variations are taken for optimized routing.