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A Survey on Sensor Networks

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Presentation on theme: "A Survey on Sensor Networks"— Presentation transcript:

1 A Survey on Sensor Networks
Ian F. Akyildiz, Weillian Su, Yogesh Sankarasubramaniam, Erdal Cayirci IEEE Communications Magazine, August 2002 Presented by Alexandra Czarlinska

2 Goals and Structure of this Paper
Survey Communication Protocols for the 5 Layers Analysis and Conclusions Communication in Sensor Networks Introduction Special constraints of Sensor Networks Communication Topology Do these protocols work for Sensors? Encourage new research

3 Communication Topology
Multi-hop wireless Sink / Base Station Internet or Satellite area A Cluster-Head or Aggregator Task Manager Node Density of nodes μ(R) = N πR2/A N = # of nodes in area A R is radio range Self-organizing, non-homogenous Sensor Network End User

4 UC- Berkeley mote Tiny sensor node with 7 sensing devices ; Photoresistor, Temperature, Barometric pressure, Barometric Pressure and Temperature, Humidity, Thermopile and Thermistor

5 Inside a Sensor Node Actuator Location Finder Mobilizer Power Unit
ADC Processor Storage TX/RX Power Generator

6 Special Constraints for Communication in Sensor Networks
Fault Tolerance Handle loss of nodes Scalability Handle high density of nodes Security ? Confidentiality, Authentication etc Power Limited Tx, computation, and lifetime Costs Nodes die, make them low cost Hardware Limitations Nodes are tiny Transmission Media wireless: RF, optical, infrared Hostile Environment Survive and maintain communication Changing Topology Nodes moving, new nodes, loss of nodes

7 Protocol Stack and Sensor Network Management
5. Application Layer 4. Transport Layer Sensor Network Manage-ment 3. Network Layer Power Moving Collaboration 2. Data Link Layer 1. Layer Physical

8 1. Physical Layer Responsible for frequency selection, modulation and data Encryption. The big issue here is Power! source modulation freq 915 MHz? encryption ??? Transmit Sink d distance Low-lying antenna Power to transmit ≈ dn where 2 ≤ n ≤ 4 High antenna

9 1. Physical Layer Have/Know Binary Modulation needs less energy than M-ary modulation Direct Sequence Spread Spectrum is low power (transmission and security) Ultra wideband (UWB) uses low power, does well under multi-path and has simple Tx/Rx Need More research on smaller hardware that uses less power (battery!) Protocols that exploit node density and multi-hop redundancy

10 2. Data Link Layer Responsible for multiplexing of data streams, Medium Access control (MAC) and Error Control Cellular MAC Base wired wireless Bluetooth and MANET Master slave Problem: MAC ensures QoS and Bandwidth, not Power conservation, central base Problem: MAC ensures QoS under mobility. Not enough nodes, Tx power needed is too much, central base

11 What we still need to improve
2. Data Link Layer MAC Protocol Method SMACS and EAR Fixed allocation of duplex time slots at fixed freq. Hybrid TDMA/ FDMA Sensors Centralized freq. and time division CSMA-based for Sensors Contention-based random access Power Conservation Random wake up during setup and turning radio off while idle. Exploits large bandwidth available compared to sensor data rate. Min energy use in Hardware. Picks the mix of TDMA/FDMA to min energy use Uses constant “listening time” to min energy. What we still need to improve Not great for very mobile networks (good for mostly stationary nodes). Should use more computation over handshaking. Use more Power-saving modes (sleeping). Need to derive bounds on energy needed by sensors.

12 3. Network Layer Have/Know Also have: Pegasis, GEAR
Routes data supplied by the Transport Layer Scheme Description Flooding Broadcasts data to all neighbor nodes Gossiping Sends data to one randomly selected neighbor LEACH Forms a clusters to minimize energy loss SPIN Sends data to sensor nodes only if they are “interested”, has 3 types of messages (ADV, REQ, DATA) Directed Diffusion Sets up gradients for data to flow from source to sink during interest dissemination Also have: Pegasis, GEAR

13 3. Network Layer Have/Know allow higher topology changes Need
Scheme Description Power Efficiency Routing Pick a route based on: max Power Available (PA) or, min Energy (ME), or Min Hop (MH) or Max Min PA. SMECN Creates a sub-graph of the sensor network that contains the minimum energy path SAR Creates multiple trees where the root of each tree is one hop neighbor from the sink Need allow higher topology changes Allow higher scalability

14 3. Network Layer Power Efficiency Routing
1- Max Power Available (PA) route, 2- Min Energy (ME) route, Min Hop (MH) route and 4 - Max Min PA route 1- Max Power Available route 4 -Max Min Route along which the min PA is larger than the min PA of other routes A P = 1 P = 2 P = 3 Total P = 6 P = 2 P = 4 B P = 2

15 4. Transport Layer Helps to maintain the flow of data if the Application Layer requires it. Needed if End-User accesses the Sensor Network through the Internet Current TCP: has a window mechanism that may not suit Sensor Networks uses end-to-end Global Addressing (nodes may have Attribute-based or Location-based addressing) TCP and UDP not based on power conservation and scalability Have/Know

16 TCP Splitting: TCP on one side, modified UDP on the other
Need 4. Transport Layer More research is needed to see if we need new protocols and what they might be. Suggestion by authors: TCP Splitting: TCP on one side, modified UDP on the other UDP Sink Task Manager Node Internet TCP End User

17 5. Application Layer Makes the hardware and software of the lower layers transparent to the Task Manager Node (and End-User) Task Manager Node Internet Sink End User

18 Sensor Query and Data Dissemination Protocol
5. Application Layer SMP TADAP SQDDP Task Assignment and Data Advertisement Protocols Sensor Query and Data Dissemination Protocol Sensor Management Protocol Rules for Data Aggregation, Time sync. Moving, turning nodes on/off Issue queries, collect replies Allows for Attribute-based and Location-based addressing Interest Dissemination from: - user to nodes - nodes to user

19 5. Application Layer Data Centric Routing (not Address Based Routing):
Attribute-Based Addressing: The locations of nodes that sense temperature higher than 70 degrees Location-Based Addressing: What are the temperatures read by sensors in region A Need In general, more research is needed in all the areas mentioned

20 Strengths and Contributions
“A Survey on Sensor Networks” Great overview of what exists, why it’s good or not good for Sensor Networks Gives a table of on-going Sensor Network research projects Identifies and motivates new areas of research that are needed Identifies certain general “design principles”

21 Analysis: Weaker side Does not mention security enough (should be designed right into the system, not after) Does not mention Asymmetric Links Does not mention Distributed Protocols sufficiently (could have no Base Station)

22 Keep in Mind Paper assumes that nodes do not have much energy but there is new research in: solar cells, temperature gradients, vibrations, RF Transfer, Micro Heat Engines (using MEMS) Assumes high density of cheap nodes vs. a few high quality nodes (keep in mind NASA) Does not always assume the most General Topology (ie: there could be no Base Station, there could be multiple sensing devices on one node etc)

23 References I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, E. Cyirci, “ A survey on Sensor Networks”, Computer Networks, 38(4): , March 2002 Chee-Yong Chong, S. P. Kumar, “Sensor networks: evolution, opportunities, and challenges”, Proceedings of IEEE, pp , August 2003

24 Additional slides with more detail
Appendix Additional slides with more detail

25 Sensor Network Communication Architecture
area A Fault Tolerance rk(t) = e – λk t λ k is failure rate of node k t is time period Density of nodes μ(R) = N πR2/A N = number of nodes in area A R is radio range

26 Authors of this Survey Georgia Institute of Technology Ian F. Akyildiz
School of Electrical and Computer Engineering Ian F. Akyildiz Yogesh Sankarasu- bramaniam Weilian Su Erdal Cayirci Prof: wireless and satellite networks, next-gen Internet Phd: Timing recovery, ad hoc routing and Sensor Networks Phd: Sensor Networks and next-generation wireless Sensor Networks, mobile comm., tactical and military


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