Information Theory & Optimization for Location of Sensors in Water Distribution for Contaminant Detection

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Abstract: The fresh drinking water is basic need of every human being. With the increase in population the dependency on water resources increasing day by day which are all ready in scared. But the population expands on the banks of rivers, nalas, and lakes or on water ponds. Because in this they can easily access water and there sewerage enters in these water bodies. In this way the lakes and water resources polluted which are dangerous for the health of downstream population. The Rawal Dam is a key water supply resource for citizens of Rawalpindi and cantonment. The increasing population nearby of this dam such as Bari Imam, Noor pur shahan, Banigala, diplomatic Enclave and Quiad-e-Azam University contributing a lot of contamination in…show more content…
Geographic information system (GIS) have wide-spread utility in a variety of domains for the management of complex data obtained from Remote Sensing, automated mapping and facilities management systems, and myriad of other applications. Recently, some researchers are applying GIS to manage the placement of wired and wireless sensors and sensor networks across large, and often remote geographic regions, as wells developing GIS interfaces to dynamically discover, query and task sensors within a service-oriented architecture (SOA) [2,3].
There are two types of sensing equipment (devices), which are stand alone sensors and sensors within network. Sensor network composed of node of the more sensing devices on the node stand alone sensors perform functions autonomously and don not rely on other senores, many stand alone devices have a programmer’s interface (API) to task and received data from the snores stand alone sensors can be integrated into a network, but are not regards as nodes that from a traditional sensor network. Most of APIs required detailed programming knowledge in a language, such as C, while a few of PIs re being to provide higher level programming abstractions, which are common in service-oriented computing paradigm[2].
The senores may be included information such as temperature, light intensity, GPS points and

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