Cooperative Hyper-Scheduling based improving Energy Aware Life Time Maximization in Wireless Body Sensor Network Using Topology Driven Clustering Approach
Article Sidebar
Main Article Content
Abstract
The Wireless Body Sensor Network (WBSN) is an incredible developing data transmission network for modern day communication especially in Biosensor device networks. Due to energy consumption in biomedical data transfer have impacts of sink nodes get loss information on each duty cycle because of Traffic interruptions. The reason behind the popularity of WBSN characteristics contains number of sensor nodes to transmit data in various dense regions. Due to increasing more traffic, delay, bandwidth consumption, the energy losses be occurred to reduce the lifetime of the WBSN transmission. So, the sensor nodes are having limited energy or power, by listening to the incoming signals, it loses certain amount of energy to make data losses because of improper route selection. To improve the energy aware lifetime maximization through Traffic Aware Routing (TAR) based on scheduling. Because the performance of scheduling is greatly depending on the energy of nodes and lifetime of the network. To resolve this problem, we propose a Cooperative Hyper-scheduling (CHS) based improving energy aware life time maximization (EALTM) in Wireless Body sensor network using Topology Driven Clustering Approach (TDCA).Initially the method maintains the traces of transmission performed by different Bio-sensor nodes in different duty cycle. The method considers the energy of different nodes and history of earlier transmission from the Route Table (RT) whether the transmission behind the Sink node. Based on the RT information route discovery was performed using Traffic Aware Neighbors Discovery (TAND) to estimate Data Transmission Support Measure (DTSM) on each Bio-sensor node which its covers sink node. These nodes are grouped into topology driven clustering approach for route optimization. Then the priority is allocated based on The Max-Min DTSM, the Cooperative Hyper-scheduling was implemented to schedule the transmission with support of DTSM to reduce the energy losses in WBSN. This improves the energy level to maximization the life time of data transmission in WBSN than other methods to produce best performance in throughput energy level.
Article Details
References
Ali Hassan Sodhro1, 2, Li Chen3, Aicha Sekhari2, Yacine Ouzrout2, Wanqing Wu4, 5Energy efficiency comparison between data rate control and transmission power control algorithms for wireless body sensor networks, International Journal of Distributed Sensor Networks, First Published January 31, 2018.
Rae Hyun Kim and Jeong Gon Kim, "Improved scheduling for MAC protocol in WBAN based monitoring environment," 2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN), 2016, pp. 706-709, doi: 10.1109/ICUFN.2016.7537128.
Hisham Alshaheen, Haifa TakruriRizk, Improving the energy efficiency for the WBSN bottleneck zone based on random linear network coding, Special Issue: Body Sensor Networks, 01 February 2018
B. Khadem, A. M. Suteh, M. Ahmad, A. Alkhayyat, M. S. Farash and H. S. Khalifa, "An Improved WBSN Key-Agreement Protocol Based on Static Parameters and Hash Functions," in IEEE Access, vol. 9, pp. 78463-78473, 2021, doi: 10.1109/ACCESS.2021.
Samanta, Y. Li and S. Chen, "QoS-Aware Heuristic Scheduling with Delay-Constraint for WBSNs," 2018 IEEE International Conference on Communications (ICC), 2018, pp. 1-7, doi: 10.1109/ICC.2018.8422180.
D. Bortolotti, M. Mangia, A. Bartolini, R. Rovatti, G. Setti and L. Benini, "Energy-Aware Bio-Signal Compressed Sensing Reconstruction on the WBSN-Gateway," in IEEE Transactions on Emerging Topics in Computing, vol. 6, no. 3, pp. 370-381, 1 July-Sept. 2018, doi: 10.1109/TETC.2016.2564361.
S. Motoyama, "Flexible polling-based scheduling with QoS capability for Wireless Body Sensor Network," 37th Annual IEEE Conference on Local Computer Networks - Workshops, 2012, pp. 745-752, doi: 10.1109/LCNW.2012.6424059.
H. Alshaheen and H. Takruri-Rizk, "Energy Saving and Reliability for Wireless Body Sensor Networks (WBSN)," in IEEE Access, vol. 6, pp. 16678-16695, 2018, doi: 10.1109/ACCESS.2018.2817025.
Anwar and S. Duraisamy, "A Predictive Routing Algorithm for WBSN Based on Kalman Filter Iterations," in IEEE Sensors Journal, vol. 18, no. 18, pp. 7741-7748, 15 Sept.15, 2018, doi: 10.1109/JSEN.2018.2847049.
Song, "Massive-MIMO Enabled FDD Wireless Backhaul Small-Cell Relay Networks: AF Protocol Based Designs With Low Channel Estimation and Feedback Complexity," in IEEE Access, vol. 6, pp. 31050-31064, 2018,
P. -C. Chen, S. -J. Ruan and Y. -W. Tu, "Power-Management Strategies in sEMG Wireless Body Sensor Networks Based on Computation Allocations: A Case Study for Fatigue Assessments," in IEEE Access, vol. 8, pp. 181366-181374, 2020, doi: 10.1109/ACCESS.2021.
M. S. Farash and H. S. Khalifa, "An Improved WBSN Key-Agreement Protocol Based on Static Parameters and Hash Functions," in IEEE Access, vol. 9, pp. 78463-78473, 2021, doi: 10.1109/ACCESS.2021.3083708.
R. Braojos, D. Bortolotti, A. Bartolini, G. Ansaloni, L. Benini and D. Atienza, "A Synchronization-Based Hybrid-Memory Multi-Core Architecture for Energy-Efficient Biomedical Signal Processing," in IEEE Transactions on Computers, vol. 66, no. 4, pp. 575-585, 1 April 2017, doi: 10.1109/TC.2016.2610426.
F. T. Zuhra et al., "LLTP-QoS: Low Latency Traffic Prioritization and QoS-Aware Routing in Wireless Body Sensor Networks," in IEEE Access, vol. 7, pp. 152777-152787, 2019, doi: 10.1109/ACCESS.2019.2947337.
H. Radie and A. A. Thabit, "Energy Harvesting based System: Toward Outage Probability Minimizing of WBSN," 2019 2nd International Conference on Engineering Technology and its Applications (IICETA), 2019, pp. 89-93, doi: 10.1109/IICETA47481.2019.9013009.
T. Rashid, S. Kumar and A. Kumar, "Effect of Body Node Coordinator (BNC) positions on the performance of intra-body sensor network (Intra-WBSN)," 2017 4th International Conference on Power, Control & Embedded Systems (ICPCES), 2017, pp. 1-6, doi: 10.1109/ICPCES.2017.8117613.
H. Alshaheen and H. T. Rizk, "Improving the energy efficiency for biosensor nodes in the WBSN bottleneck zone based on a random linear network coding," 2017 11th International Symposium on Medical Information and Communication Technology (ISMICT), 2017, pp. 59-63, doi: 10.1109/ISMICT.2017.7891767.
H. Alshaheen and H. T. Rizk, "Improving the energy efficiency for a WBSN based on a coordinate duty cycle and network coding," 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC), 2017, pp. 1215-1220, doi: 10.1109/IWCMC.2017.7986458.
T. Wu, P. Yang, Y. Yan, P. Li and X. Rao, "Near Optimal Route Association With Shannon Model in Multi-Drone WSNs," in IEEE Access, vol. 6, pp. 60869-60880, 2018, doi: 10.1109/ACCESS.2018.2874661.
F. T. Zuhra, K. B. A. Bakar, A. A. Arain, U. A. Khan and A. R. Bhangwar, "MIQoS-RP: Multi-Constraint Intra-BAN, QoS-Aware Routing Protocol for Wireless Body Sensor Networks," in IEEE Access, vol. 8, pp. 99880-99888, 2020, doi: 10.1109/ACCESS.2020.
G. Xie and F. Pan, "Cluster-Based Routing for the Mobile Sink in Wireless Sensor Networks With Obstacles," in IEEE Access, vol. 4, pp. 2019-2028, 2016, doi: 10.1109/ACCESS.2016.2558196.
P. Singh, R. S. Raw, S. A. Khan, M. A. Mohammed, A. A. Aly and D. -N. Le, "W-GeoR: Weighted Geographical Routing for VANET’s Health Monitoring Applications in Urban Traffic Networks," in IEEE Access, doi: 10.1109/ACCESS.2021.3092426.
N. Morozs, P. D. Mitchell and Y. Zakharov, "Dual-Hop TDA-MAC and Routing for Underwater Acoustic Sensor Networks," in IEEE Journal of Oceanic Engineering, vol. 44, no. 4, pp. 865-880, Oct. 2019, doi: 10.1109/JOE.2019.2933130.