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Military training radio networks typically consist of large numbers of mobile nodes and have to provide real-time (RT) communication between these nodes. This paper introduces a method on how to manage radio resources and provide Quality of Service (QoS) guarantees for heterogeneous traffic by using admission control, deterministic queuing, and scheduling methods. The proposed solution is based on...
We present Duo-MAC, an asynchronous cascading wake-up scheduled MAC protocol for heterogeneous traffic forwarding in low-power wireless networks. Duo-MAC deals with energy-delay minimization problem and copes with transmission latency encountered by Today's duty-cycled protocols when forwarding heterogeneous traffic types. It switches, according to the energy and delay requirements, between Low Duty...
In this paper Dynamic Sleep Scheduling (DSS) for Minimizing Delay in Wireless Sensor Network is proposed. To reduce delay, DSS identifies nodes for different sleep/wake according to their traffic load at two levels: a) Nodes with different sleep/wake schedule requirement according to their different traffic load based on their topological importance in the network. b) Nodes with different sleep/wake...
In this paper, we proposed an adaptive low latency MAC protocol for sensor networks based on cross-layer architecture, named LLS-MAC (Low Latency Sensor MAC). The new protocol is inspired by S-MAC. The advancement of LLS-MAC in packet end-to-end delay is mainly due to the continual data transmission scheme presented in this paper. For achieving this scheme, a cross-layer design approach is adopted...
Due to the special characteristics of wireless sensor networks, traditional MAC approaches are not suitable for them. So designing MAC protocol for WSNs in a specific manner is critical to meet their intrinsic constraints. In this paper, we proposed an energy efficient MAC protocol which reduce energy consumption due to idle listening and control packet overhead. It is called W-MAC. W-MAC protocol...
The general joint design of the physical, MAC, and routing layers to minimize network energy consumption is complex and hard to solve. Heuristics to compute approximate solutions and high-complexity algorithms to compute exact solutions have been previously proposed. In this paper, we focus on synchronous small-scale networks with interference-free link scheduling and practical MQAM link transmission...
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