Hatch-Sens: a Theoretical Bio-Inspired Model to Monitor the Hatching of Plankton Culture in the Vicinity of Wireless Sensor Network Poulami Majumder # , Partha Pratim Ray * # 203, Barrackpore Trunk Road, Kolkata, West Bengal-700108, India AERU, Indian Statistical Institute, * 6th Mile, Samdur, PO Tadong, Gangtok, Sikkim-737102, India CSA Department, Sikkim University, Abstract— Plankton research has always been an important area of biology. Due to various environmental issues and other research interests, plankton hatching and harnessing has been extremely red-marked zone for bio-aqua scientists recently. To counter this problem, no wireless sensor assisted technique or mechanism has yet not been devised. In this literature, we propose a novel approach to pursue this task by the virtue of a theoretical Bio-inspired mode l name d Hatch-Sens, to automatically monitor different parameters of plankton hatching in laboratory environment. This literature illustrates the concepts and detailed mechanisms to accumulate this given problem. Hatch-Sens is a novel idea which combines the biology with computer in its sensing network to monitor hatching parameters of Artemia salina. This model reduces the manual tiresome monitoring of hatching of plankton culture by wireless sensor network. Keywords— Plankton, Artemia salina, zooplankton, autotrophic, bio-inspiration, wireless sensor network. I. I NTRODUCTION Planktons are any organisms that live in the water column and are incapable of swimming against a current. They provide a crucial source of food to many large aquatic organisms, such as fish and whales [1]. These organisms include drifting animals, plants, archaea, or bacteria that inhabit the pelagic zone of oceans, seas, or bodies of fresh water. That is, plankton are defined by their ecological niche rather than phylogenetic or taxonomic classification [1]. Planktons [1] are primarily divided into three broad functional groups. Firstly, Phytoplankton (autotrophic, prokaryotic or eukaryotic algae) that live near the water surface where there is sufficient light to support photosynthesis. Among the more important groups are the diatoms, cyanobacteria, dinoflagellates and coccolithophores. Second, Zooplankton (protozoans or metazoans) that feed on other plankton and telonemia. Third, Bacterioplankton (bacteria and archaea), which play an important role in re-mineralizing organic material down the water column. Plankton [1] inhabits oceans, seas, lakes, ponds. Local abundance varies horizontally, vertically and seasonally. The primary cause of this variability is the availability of light. All plankton ecosystems are driven by the input of solar energy (chemosynthesis), confining primary production to surface waters, and to geographical regions and seasons having abundant light. In this paper, we investigate the parameters related to culture of Artemia salina hatching through wireless sensor network. Artemia salina is chosen for our purpose due to its easy availability in egged form, easy to purify and its high tolerance to a wide range of salinities. Hence, it is very helpful for lab-based work. Artemia salina is a species of brine shrimp – aquatic crustaceans that are more closely related to Triops and cladocerans than to true shrimp. It is very old species that have not been changed in nature for last 100 million years. Males [2] have two reproductive organs. The females can produce eggs either in the usual way or via parthenogenesis. Among two types of eggs: thin–shelled eggs that hatch immediately and thick–shelled eggs, which can remain in a dormant state. These cysts can last for a number of years, and will hatch when they are placed in water [2]. Thick–shelled eggs are produced when the body of water is drying out, raising the salt concentration. If the female dies, the eggs develop further. Eggs hatch into nauplii [6] that are about 0.5 mm in length. They have one single simple eye that only senses the presence and direction of light. Nauplii swim towards the light but adult individuals swim away from it. Later, the two more capable eyes develop but the initial eye also stays, resulting in three-eyed creatures [3]. They [2] are almost never found in an open sea, most likely because of the lack of food and relative defencelessness. However, Artemia have been observed in Elkhorn Slough, which is connected to the sea [4]. The resilience of these creatures makes them ideal test samples in experiments. Artemia is one of the standard organisms for testing the toxicity of chemicals [5]. We prescribe artificial hatching for our model. Artificial hatching is suitable for our need as it takes less time and monitoring headache than its natural counterpart. Though this work is purely lab-based, we provide a conceptual model on the computational part taking the hatching job as methodical. Using wireless sensor network in such a work is unique in nature. Wireless sensor network [8] consists of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, humidity, motion or pollutants and to cooperatively pass their data through the network to a main location [7].The more modern networks are bi-directional, also enabling control of sensor activity. The development of wireless sensor networks was Poulami Majumder et al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 3 (4) , 2012,4764 - 4769 4764