![]() Introducing multichannel communication inWSNs helps to increase the carried traffic load thanks to allowing parallel data trans-mission and reduction of contention and interference. Congestion and queue overflow reduce delivery ratiothat negatively affects the network efficiency.Wireless sensor nodes are resource constrained devices with limited buffers sizeto store and forward data to the sink. In case of high carried traffic load and depending on the used routing policy,this many-to-one data collection leads to congestion and queue overflow mainly innodes located near the sink. In convergecast,all data collected in the network is destined to one common node usually called thesink. They are used in different applica-tion domains including data collection with convergecast scenarios. The popularity of wireless sensor networks (WSNs) is increasing due to their ease ofdeployment and auto-configuration capabilities. Index Terms: Wireless sensor networks, Wireless multimedia sensor networks, Routing, Multichannel, Multisink, Multipath, Multiradio, Cognitive radio wireless sensor networks and Micro-electro-mechanical systems. For substantiating the performance of QCM2R protocol, the simulations are performed in NS-2 demonstrating the performance superiority of the proposed QCM2R protocol against the counterpart in terms of network lifetime, reliability, delay and throughput. ![]() To achieve reliable communication in stream based multichannel Wireless Sensor Networks (WSNs), this work proposes a novel QoS-aware Cross-layered Multichannel Multisink Routing protocol (QCM2R) for WSNs. multisink approach) may improve QoS by handling congestion, avoiding single point of failure issue and making possible load balancing between the available routes towards the corresponding destinations. Furthermore, enabling data gathering at multiple points (i.e. However, multichannel methodology may assist in accomplishing these QoS requirements by making possible parallel communication, enhancing throughput/delivery ratio, reducing transmission delay and countering jamming attacks. These QoS requirements can be hardly achieved in a proper fashion by using a single channel for wireless communication. Unlike the scalar data (such as temperature, pressure and humidity), the vector data (such as image, audio and video) necessitates more stringent Quality of Service (QoS) requirements in terms of bandwidth, delay, reliability and information security. Simulation results show the performance improvement of the proposed method over the most similar works ( MORR protocol and SLOR protocol). Furthermore, the opportunistic routing is restricted by a forwarding zone to increase the route quality, which balances loads among different next-hop candidates. Thus, network load will be balanced over different channels. In addition, by prioritizing channels based on the number of competing nodes and channels’ utilization, the proposed method prevents channels’ saturation. For the proposed MAC protocol, adaptive sleep–wake scheduling based on nodes’ utilization and energy level helps a sender to avoid multiple synchronization and competition periods for any data transmission. In this paper, we proposed a joint MAC and routing mechanism that improves power consumption as well as both end-to-end delay and packet delivery ratio. Due to power constraints in WSNs, increasing the network’s lifetime is a challenging issue that must be satisfied in any design, obviously medium-access control (MAC) and routing protocols. The test results show that our algorithm decreases the energy consumption and minimizes the delays when compared with other proposals that also apply the explicit knowledge technique and routing protocols with explicit confirmations, maintaining the same characteristics in terms of reliability and connectivity.īy increasing the internet of things (IoT) applications, multi-channel wireless sensor networks (WSNs) are widely used as a promising technology. The energy consumption and the delay are also mathematically modeled and analyzed. The proposal is validated through tests with real hardware. The algorithm uses implicit acknowledgement to provide reliability and connectivity with energy efficiency, low latency, and fault tolerance in linear wireless sensor networks. In this paper, we propose an energy efficient link level routing algorithm that provides end-to-end reliability into multi-hop wireless sensor networks with a linear structure. Therefore, they are characterized by long delays and high energy consumption. However, they rarely consider the requirements of the multi-hop linear wireless sensor networks, with thousands of nodes, which are universally used for monitoring applications. Furthermore, most of the studies have been related to star, mesh, and tree topologies. End-to-end reliability for Wireless Sensor Network communications is usually provided by upper stack layers.
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