Effective Streaming of Clustered Sensor Data in Harsh Environment

A milestone of success for any sensor network establishment is successful data streaming overpoint-to-point communications (P2P). Typical P2P services would present the descriptive best-effort(BE) or other Quality of Service (QoS) streams. In this research, we present the Stateless WirelessAd-hoc Network model (SWAN), an integrated model that is known to work in typical ad-hocconfigurations like the classical wireless ad-hoc sensor networks. SWAN is a lightweight QoSmodel that enables operations over any routing protocol or Media Access Control (MAC) layerswhile exhibiting some advantages over competing models. Nevertheless, SWAN is vulnerable totroubles related to mobility and false admission. The SWAN model design relies on picking acandidate (victim) data flow to manipulate as a congestion control measure. We extend SWAN byadding the destination-based regulation and also show the reasons why the destination-basedregulation chooses real-time data victim streams in an accurate mode.Thus, we propose the use of destination-based regulation to resolve the dynamic congestionissues. This confines SWANs pertinence for streaming scenarios such as the instance of essentialcontinuous broadcast (CB-streaming). We consider it is possible to transport CB communicationsover substitute MAC layer such as the 802.11 or other wireless technology. To perform that, weintroduce the purpose of SWAN in addition to the suggested enhanced destination based algorithmto transport the trusted CB-streaming applying P2P communications, but by rendering it withdissimilar QoS parameters. We believe that the SWAN approach in this regard is more in line withthe nature of sensor networking with the awareness that sensors normally form and vanish quicklygiving small opportunity to reconfigure or reposition the profiles of dynamically formed networks.Hence, sensing devices maintain low computational, storage capacities, processing, and batterylife.