Abstract

Mobile ad hoc computation network (MAHCN) is emerging as a new computing paradigm because of proliferation of advancement in mobile computing and communication technologies. MAHCN is nothing but divide one computation intensive task into several subtasks and allocate those subtasks to the other available mobile devices in the mobile ad hoc network for computation purpose and finally collect results from each mobile node in mobile ad hoc network. Key issues in the MAHCN are mobility of nodes, limited battery of mobile nodes, computation power of nodes etc. This paper focuses on issue of limited battery of nodes, and describes Energy Efficient Resource Allocation scheme for Mobile Ad hoc Computation network. Proposed scheme first analyzes the tasks within an application (task analysis phase) and then uses that analysis information for resource allocation for tasks within Mobile Ad hoc computation grid. EERA scheme also handles the node battery failure case efficiently. Ontology based Multi-document summarization application is implemented and described resource allocation scheme is applied on it to examine performance of the effectiveness of the scheme. EERA is simulated in various environments proves EERA as better resource allocation system.

Authors and Affiliations