To achieve optimal bandwidth cost in wireless networks through cache partition based algorithm

Context-awareness is an essential demand for pervasive computing applications, which enables them to accommodate and execute tasks based on setting. Ace of the adaptive features of context-awareness is contextual reconfiguration. Contextual reconfiguration involves discovering remote service(s) based on context and binding them to the application components to realize new behaviors, which may be needed to satisfy user needs or to enrich user experience. One of the steps in the reconfiguration process involves a remote lookup to discover the service(s) based on context. This remote lookup process provides the largest contribution to reconfiguration time and this is due to fact that the remote calls are much slower than local calls. The use of cross-layer information from lower layers opens the door to developing efficient replication schemes that account of the specific features of WSNs (e.g., contention between the nodes to access the wireless medium and traffic interference). This service program enables those infrastructure nodes to participate in content distribution and act the part of replica servers. Therefore, it affects system performance. The proposed concept is the compounding of two contributions stated as: (i) A new improved routing technique is proposed, whose main destination is to get at the energy consumption balance and prolonging wireless sensor network lifetime. We prove that the public presentation of the proposed algorithm is guaranteed to be within a constant divisor of the globally optimal performance, with far more benign worst case ratios than in prior employment, even in asymmetric scenarios, and (ii) Content is typically partitioned into two disjoint sets of inelastic as well as elastic content. Cooperative caching is shown to be capable to reduce content provisioning cost which heavily depends on service and pricing dependencies among various stakeholders, including content providers, network service suppliers, and end consumers.