Resource Allocation for Sharing Cloudlet with MOPSO in wireless sensor network

Connecting mobile devices with the cloud, suffers from high network latency and the huge transmission power consumption. Main obstacle for today’s mobile devices is lack of resource, and requires increasing the processing power of device, increasing memory capacity, a need for greater durability of the battery etc. Cloudlets can provide available resources to nearby mobile devices with lower access overhead and energy consumption. To stimulate service provisioning by cloudlets and improve resource utilization, a feasible and efficient incentive mechanism is required to charge mobile users and reward cloudlets. This paper introduces multi-object Practical swam optimization (MOPSO) algorithm in order to optimize various single or combinations of objectives including localization time, messages sent during localization, and the power consumed.