Siksha Sarovar

Siksha Sarovar (sikshasarovar.com) is a free educational web application that helps students in India learn programming and prepare for academic and competitive exams. The platform offers structured coding courses (C, C++, Python, Java, HTML, CSS, PHP, Power BI, AI, Machine Learning, Data Science), complete university curriculum notes for BCA/MCA students with previous year question papers, Class 10 and Class 12 CBSE/HBSE school notes, and dedicated preparation material for SSC, UPSC, Banking, Railway and other government exams. Browsing the site is completely free and requires no account. Users may optionally sign in with Google solely to save their learning progress, quiz scores and personal preferences across devices.

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Siksha Sarovar is a free e-learning platform for coding courses, BCA university notes and competitive exam preparation. Optional Google sign-in saves your learning progress across devices.

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2.4 Wireless Sensor Networks (WSN) and Network Topology

Lesson 10 of 31 in the free Internet of Things (IoT) notes on Siksha Sarovar, written by Rohit Jangra.

2.4.1 WSN Infrastructure and Constraints

A WSN is a collection of spatially distributed autonomous devices (nodes or motes) that collaborate to monitor environmental conditions.

2.4.2 The Anatomy of a WSN Node (The "Mote")

  • Power Unit: The bottleneck. Usually AA batteries or Energy Harvesting (Solar/Vibration).
  • Sensing Unit: Measures parameters (Temp, Light, Gas).
  • Processing Unit: 8-bit/32-bit MCU (Atmel, ARM Cortex-M).
  • Communication Unit: Low-power radio transceiver (IEEE 802.15.4 standard).

2.4.3 WSN Network Topologies: Comparative Analysis

  1. Star Topology: Every node talks directly to the central gateway. Pro: Simplicity. Con: Limited range, single point of failure (Gateway).
  2. Mesh Topology: Nodes talk to their neighbors. Data hops from node to node. Pro: Self-healing, long range. Con: High latency, complex routing (RPL).
  3. Cluster-based Topology: Nodes organized into groups with a elected "Cluster Head" (CH). Pro: Saves energy by performing data aggregation at the CH before sending to the gateway.

2.4.4 Participatory Sensing Technology

Participatory sensing shifts the sensing burden from dedicated infrastructure to the Citizenry.

  • Concept: Using smartphone sensors (GPS, Microphone, Accelerometer) to monitor city conditions.
  • Examples: Using Waze for traffic mapping or the NoiseTube app for city noise mapping.
  • Issues: Data privacy, incentive models, and handling heterogeneous data quality.