Appropriate Cluster Head Determination Strategy for extending the Wireless Sensor Network’s (WSN’s) Lifetime

WSN is made with immense number of sensor’s which are deployed densely over an unattended area is responsible for taking environmental measurements, process the data and finally transmit the sensed data over a wireless channel to the sink that makes decisions based on these sensor’s readings. It is well known that the energy consumed for transferring one bit of data from individual sensor to sink is equivalent to a large number of arithmetic operations to be performed in a sensor processor. Thus, node clustering have been applied to hierarchical sensor networks with heterogeneity to augment the network existence whereas diminishing the necessary energy consumption. For that reason, Seven Level Balanced Energy Efficient Network Integrated Super Heterogeneous (SL-BEENISH) algorithm was designed and implemented. Simulation outcomes clearly demonstrated that SL-BEENISH attain better in comparison with TDEEC, BEENISH and IBEENISH with more stability period and network duration.

Accuracy-Energy Configurable Sensor Processor and IoT Device for Long-Term Activity Monitoring in Rare-Event Sensing Applications

A specially designed sensor processor used as a main processor in IoT (internet-of-thing) device for the rare-event sensing applications is proposed. The IoT device including the proposed sensor processor performs the event-driven sensor data processing based on an accuracy-energy configurable event-quantization in architectural level. The received sensor signal is converted into a sequence of atomic events, which is extracted by the signal-to-atomic-event generator (AEG). Using an event signal processing unit (EPU) as an accelerator, the extracted atomic events are analyzed to build the final event. Instead of the sampled raw data transmission via internet, the proposed method delays the communication with a host system until a semantic pattern of the signal is identified as a final event. The proposed processor is implemented on a single chip, which is tightly coupled in bus connection level with a microcontroller using a 0.18 μm CMOS embedded-flash process. For experimental results, we evaluated the proposed sensor processor by using an IR- (infrared radio-) based signal reflection and sensor signal acquisition system. We successfully demonstrated that the expected power consumption is in the range of 20% to 50% compared to the result of the basement in case of allowing 10% accuracy error.