Topology design and cross-layer optimization for wireless body sensor networks

Abstract

Wireless Body Sensor Networks play a crucial role in digital health care nowadays. Due to the size limitation on the sensor nodes and the life critical characteristics of the signals, there are stringent requirements on network's reliability and energy efficiency. In this article, we propose a mathematical optimization problem that jointly considers network topology design and cross-layer optimization in WBSNs. We introduce multilevel primal and dual decomposition methods and manage to solve the proposed non-convex mixed-integer optimization problem. A solution with fast convergence rate based on binary search is provided. Simulation results have been supplemented to show that our proposed method yields much better performance than existing solutions.

Wireless Body Area Network (WBAN)-Based Telemedicine for Emergency Care

“…WBAN in healthcare must be secured through a robust authentication scheme [21], and these sensor readings may be inaccurate due to some faults, resulting in anomalous detection schemes [22]. WBAN network topology and cross-layer optimization were discussed in References [23,24], which optimized cost effectiveness through a multi-objective cost function. In Reference [25], a novel convergecast strategy, especially for WBAN, was designed using a delay-tolerant network and wireless sensor network in the OMNeT++ framework.…”

Joint Transmission Power Control and Relay Cooperation for WBAN Systems

“…In the scheme proposed in [29], the diversity gain from the two-hop relay link is utilized to decrease the outage probability, and radio Tx power control is integrated into sensor and relay nodes to extend the system lifetime and mitigate the signal interference from other WBAN systems. To achieve a better balance between transmission reliability and energy efficiency, the TPC scheme proposed in [30] jointly considers TPC, relay selection, and transmission time, and then converts the problem of controlling these parameters to a non-convex mixed-integer optimization problem.…”

Energy Harvesting Based Body Area Networks for Smart Health

“…Nowadays, most research concerning BAN energy efficiency optimization focuses on the design of the routing algorithm [ 11 , 12 ], duty-cycle-based data collation [ 1 ], data reduction and compressed sending [ 13 , 14 ], and cross-layer design [ 15 ]. For example, some papers have proposed novel approaches to reduce energy consumption through an adaptive routing algorithm [ 16 ], dynamic programming for heterogeneous networks [ 17 ], and voltage/frequency scaling [ 18 ], and secure data transmission [ 19 ].…”