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Energy Aware Sensor Network With Sink Mobility

Energy Aware Sensor Network With Sink Mobility
  • Description

Block Diagram

Existing systems views sensor network as purely a routing and data aggregation problem where objective remains to postpone or schedule packets appropriately and route the packets after reducing number of packets through aggregation in such a way that nodes looses lesser energy. However practically several other factors affect sensor and sensor network performances. For instance higher channel noise needs more amplification power by intermediate nodes. Distance between nodes changes the received signal power. Data aggregation also requires a storage unit and data processing nodes at the routers which adds to the overhead. Further a wireless channel must be suitably controlled by an efficient MAC layer. 802.11 and 802.16.4 standards are commonly used. But these techniques are best effort transmission. A node transmits with a probability of success and if packets are lost due to collision, these nodes waits before retransmission. In order to minimize such overhead , simulation environment must take into consideration of distance between the nodes, effect of number of bits, modulation . Further emphasize must be given to antenna design which should elaborate noise cancellation at the receiver. Thus the main problem for simulation is to take all these practical parameters into consideration and propose a comprehensive technique.

The problem of the work can be summarized as “simulate wireless sensor network with backup routing concept maximize the lifetime without depending on data aggregation and delayed transmission for the same.” So when a node which is part of a path start loosing it’s energy, it informs the source. Source obtains an alternative path. Till the alternative path is formed, packets are transmitted through the previous path. As soon as the new path is formed, the previous path is dropped. When there remains no path, sink starts moving towards the source node reducing the distance between the nodes and thus maximizing data delivery.



1) You can have following experiments:

Node Variation

a) Node v/s Energy ( consumption and spent)

b) Node v/s BER

c) Node v/s Delay

Round Variation

d) Round v/s Energy

e) Round v/s BER

f) Round v/s Delay

SNR Variation

g) SNR v/s Energy

h) SNR v/s BER

i) SNR v/s Delay

Packet Length Variation

j) Packet length v/s Energy

k) PL v/s Delay

l) PL vs BER

2) When you want to start a new comparison, click on new simulation. then vary the particular input parameter ( node/rounds/snr/packet length) serially. Say N=40, SNR=10, PL=50, Rounds=20 in Node vs all comparison.

3) Now generate network and simulate for first network. Then again generate network and simulate for second parameter.

4) Now change nodes to 50 and re do the experiment

) In the graph, x-axis is whatever you are varying and Y axis is output parameter mentioned above.