Interference Minimized Slot Scheduling for Coexisting WBANs: Delay and Priority-Based Approach
Nowadays wearable body sensors are widely used for monitoring the physiological signs of the human body. A Wireless Body Area Network (WBAN) usually consists of a single coordinator and multiple computational constraint body sensors. In WBANs, mitigation of interference is an important issue to improve the network throughput. Interference occurs when multiple WBANs come within the proximity of each other, and every one wants to send their data at the same time. In this paper, we mainly focus on interference minimization for coexisting WBANs. The main objective is to schedule all nodes in the network in an interference free manner so that the spatial reuse factor is improved. We use both Protocol and Physical interference model to capture the interference at a WBAN. Moreover, a Delay-Aware Priority-based Scheduling algorithm (abbreviate shortly as DAP) is proposed where the priority of nodes and interfering nodes are taken into account to schedule the body sensors. Simulations are performed in different network scenarios and compared with ID, degree and ITLS based scheduling. The simulation results show that the priority based scheduling has better performance than ID, degree, and ITLS-based scheduling algorithm.
KeywordsWireless body area networks Protocol interference model Physical interference model Interference graph Priority Waiting time Scheduling
The first author wishes to thank the Director, National Institute of Technology, Durgapur, India for providing the facilities and support to carry out this work.
- 3.Li X-Y, Moaveni-Nejad K, Song WZ, Wang WZ (2005) Interference-aware topology control for wireless sensor networks. In: Second annual IEEE communications society conference on sensor and ad hoc communications and networks (SECON). IEEE Press, pp 263–274Google Scholar
- 4.He Y, Yuanyuan Z (2006) Interference-aware topology control problem in wireless sensor networks. In: Proceedings of 6th IEEE international conference on ITS telecommunications. IEEE Press, pp 969–972Google Scholar
- 5.Kong R, Chen C, Yu W, Yang B, Guan X (2013) Data priority based slot allocation for wireless body area networks. In: IEEE international conference on wireless communications and signal processing (WCSP), pp 1–6Google Scholar
- 8.Wen H, Quek TQS (2015) On constructing interference free schedule for coexisting wireless body area networks using distributed coloring algorithm. In: Proceedings of 12th IEEE international conference on wearable and implantable body sensor networks (BSN). IEEE Press, pp 1–6Google Scholar
- 9.Judhistir M, Misra S, Manjunatha M, Islam N (2012) Interference mitigation between WBAN equipped patients. In: Proceedings of 9th IEEE international conference on wireless and optical communications networks (WOCN). IEEE Press, pp 1–5Google Scholar
- 10.Vladimir M, Sayrafian K, Barbi M, Alasti M (2015) A regret matching strategy framework for inter-BAN interference mitigation. In: Proceedings of 8th IEEE conference on IFIP wireless and mobile networking. IEEE Press, pp 231–234Google Scholar
- 11.Haoran L, Chen C, Yu W, Yang B, Guan X (2012) Supersa: superframe design based slot allocation of wireless body area networks for healthcare systems. In: International conference on wireless communications and signal processing (WCSP). IEEE Press, pp 1–6Google Scholar
- 12.Jocelyne E, Paris S, Krunz M (2015) Cross-technology interference mitigation in body area networks: an optimization approach. IEEE Trans Veh Technol 64:4144–4157Google Scholar
- 13.Thien TTL, Sangman M (2017) Link scheduling algorithm with interference prediction for multiple mobile WBANs. J Sens 17:2231Google Scholar
- 14.Samaneh M, Behnam M, David BS, Mehran A (2017) Biologically inspired self-organization and node-level interference mitigation amongst multiple coexisting wireless body area networks. In: Proceedings of 13th international conference on wireless communications and mobile computing conference (IWCMC). IEEE Press, pp 1221–1226Google Scholar