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Graduate Projects - Details

Computer Science Program

Project ID: 374
Author: Bhanu Kishore Kamapantula
Semester: 3 2011
Committe Chair: Ahmed Mahdy
Committee Member 1: Dulal Kar
Committee Member 2: Longzhuang Li
Project Description: Research in Underwater Wireless Sensor Networks (UWSNs) has ourished in recent past. Routing in underwater wireless sensor networks di ers from routing in terrestrial wireless sensor networks. This is due to issues such as limited bandwidth in water, node mobility due to water currents, and potential delay in data packet trans- mission. A novel Multi-Metric Adaptive Routing (MMAR) algorithm for UWSNs is proposed and implemented. MMAR algorithm considers depth at which nodes are deployed, packet age, energy level at each node, average energy level of the network at a given instance, and hop count from a particular participating node to the base node. The metrics level at every node is estimated using a vector representation. A routing technique is chosen depending on the value of calculated metrics. The three possibili- ties of routing techniques that can be adapted are Almost-Ring approach, Distributed approach, or Centralized approach. Base node oats on water surface and participat- ing nodes are deployed underwater. MMAR routing implements acoustic and radio energy models for communication underwater and over the air, respectively. The rout- ing algorithm is simulated in C language and Message Passing Interface (MPI). A case study on forecasting red tides using wireless sensor networks is presented to establish the centralized routing approach. The performance of di erent routing strategies is noted apart from determining the energy required by a node to transmit and receive data from other nodes. The performance of MMAR is compared with Vector-Based Forwarding and Depth-Based Routing techniques. The overall performance of the Multi-Metric Adaptive Routing algorithm is average considering that node mobility is not addressed.
Project URL:   374.pdf
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