NDLI: A self-adaptive method of task allocation in clustering-based MANETs

Content Provider	IEEE Xplore Digital Library
Author	Yang Yang Xue-song Qiu Luo-ming Meng Lan-lan Rui
Copyright Year	2010
Description	Author affiliation: State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, 100876, China (Yang Yang; Xue-song Qiu; Luo-ming Meng; Lan-lan Rui)
Abstract	In a clustering-based MANETs, task allocation has posed increasing research challenges because the needs of management and coordination are accentuated by complicated demands of cluster members. A self-adaptive method of task allocation is designed to facilitate self-planning and self-negotiation for nodes during tasks being distributed and executed. The method is composed of two parts: for one part, the cluster head works out an integrated schedule for tasks, including selecting different sets of execution nodes and defining their functions according to task types. Cooperative group towards synergetic task is formed by policies of filtering and voting. Assignment modes based on either polling or mobile agents are also involved, the latter adopts an improved Ant Colony Optimization (ACO) algorithm to plan a migration path. For another, if a cluster member fails to accomplish a task, it could negotiate as a tenderee with other nodes using a revised contract net protocol. In addition, we employ a stimulation mechanism of distributing virtual task experience in connection with QoS guarantees to offer compensation for nodes' energy consumption and extra load. Simulation results demonstrate performance benefits of our self-adaptive method can efficaciously alleviate load of the cluster head, balance loads of nodes in consideration of energy restriction, and prolong the lifecycle of the cluster.
Starting Page	440
Ending Page	447
File Size	911372
Page Count	8
File Format	PDF
ISBN	9781424453665
ISSN	15421201
e-ISBN	9781424453672
DOI	10.1109/NOMS.2010.5488499
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-19
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Energy consumption Contracts Protocols Technology management Telecommunication network management Collaborative software Scheduling Collision mitigation Clustering algorithms Laboratories Contract net protocol MANETs Task allocation Cooperative group Ant algorithm
Content Type	Text
Resource Type	Article

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