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Wireless sensor networks have limited bandwidth and battery energy, energy of nodes mainly consume in the data processing and data routing, the lifetime of a network is determined by the lifetime of these nodes. So, we must given a more efficient routing algorithm to prolong the lifetime of entire network. In this paper, we proposed an efficient energy balancing routing algorithm based on a hybrid...
Stringent energy constraint is one of the most critical issues in wireless sensor networks. To address this issue, this paper proposes an ant colony-based energy-aware multipath routing algorithm. The algorithm, which considers the available power of nodes and the energy consumption of each path as the reliance of routing selection, utilizes the self-organization, self-adaptability and dynamic optimization...
Due to long calculation time and slow convergence speed, ant colony system (ACS) cannot be used directly in wireless sensor networks (WSN). In this paper, we present an improved ACS algorithm based on Altitude Information (AI) and Ant Withdrawal (AW), named ACSA (an improved ACS algorithm with AI). The concept of AI is defined, and the design philosophy, algorithm realization and performance simulation...
Appropriate node management of networks in the limited resources of the wireless sensor network for effectively control the energy of networks is one of the key points in research on wireless sensor networks. Using of ant colony algorithmpsilas characteristics, self-organized, adaptive and dynamic optimization, this paper proposed a new power management which can reduce the node power and re-establish...
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