Asanka P. Sayakkara

Wireless Sensing: What Simplicity Has to Offer?

We argue that, a wireless sensor does not have to implement a full networking stack in order to be a part of an energy efficient sensing application as long as it can deliver its sensed data to an Internet connected device over a single hop. Current hardware industry trends indicate the possibility of implementing wireless sensors for a low cost with simple capabilities. This poster highlights our preliminary work aligned with this trend and aims to open a discussion on this topic.

The deployment of TikiriDB for monitoring palm sap production

Nowadays, the industry of harvesting palm sap in Sri Lanka is facing many problems due to theft and environmental affects. In this paper, we propose a solution for the particular problem by using a wireless sensor network based system to monitor the palm sap production of a large plantation area. We are using an enhanced version of TikiriDB which provides a database abstraction on the sensor network to make the process of data collecting and analyzing more efficient. TikiriDB can be used to reduce restrictions on accessing traditional sensor networks by enabling the user to access the sensor network using multiple queries through multiple access points simultaneously.

Listening to the Giants: Using Elephant Infra-Sound to Solve the Human-Elephant Conflict

The continuing human-elephant conflict in Sri Lanka has resulted in loss of human as well as elephant lives. Detecting and localizing elephants is an essential component of any viable solution to this problem. Currently, we conduct feasibility tests on using low cost sensors to detect elephants from a long distance, leveraging the infra-sounds emitted by them. In this paper we present the test environment that we have set up for this purpose and some preliminary, but promising results.

An Empirical Study of WiFi-based Radio Tomographic Imaging

Radio Tomographic Imaging (RTI) enables device free localization of physical objects by using signal attenuation in wireless networks. In this paper, we explore how existing RTI methods can be used in WiFi networks to do tomographic imaging. Moreover we analyze and evaluate the properties that affect the accuracy of WiFi tomographic imaging process.

Radio tomographic imaging using extremely resource constrained devices

This paper presents a simple and cost effective method for radio tomographic imaging (RTI) using extremely resource constrained devices. The idea is to measure and analyse packet loss rates under various power levels and obtain images of objects in an interested area. We have implemented an experimental prototype for the RTI system using extremely resource constrained devices and results show that the packet loss ratio for RTI is a cost-effective method for image estimation and provides better results when the transmitted power is low.

A data delivery protocol for extremely resource constrained Wireless Sensors

Applications based on Wireless Sensor Networks (WSN) have a huge potential to enhance human life. A typical WSN application uses a large number of sensor nodes and they will cover a large geographical area. Such sensor nodes cost a lot and implements entire IPv6 stack for its communication. Since most of the current applications are focused on smaller environments, implementing entire IPv6 stack is a resource wastage. With the current development in the industry it is possible to develop extremely resource constrained sensor nodes which cannot run IPv6 stacks. In this study we present a data communication protocol which is capable of working on top of such extremely resource constrained devices. This protocol will use a cross layer approach where it will only use the MAC layer and Application layer instead of the full IPv6 networking stack.

Declarative interface for in-network actuation on wireless sensor-actuator networks

Declarative SQL queries are a way of abstracting out the underlying complexity in Wireless sensor-actuator networks (WSAN). Current SQL syntax to perform actuation tasks misleads the user because of their artificial way of expressing the actuation tasks thus violating the purpose of the declarative nature. Particularly with respect to distributed in-network actuation tasks where multiple sensor nodes and actuator nodes are involved, the user may be required to write multiple queries based on the current actuation query syntax causing a negative impact on the performance. We address these issues in existing declarative layer with modifications to the virtual data table of the abstraction and thus a new syntax is suggested and implemented.