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作 者:郑鑫[1] 张晓洁[1] 宾冬梅[2] 王高才[2]
机构地区:[1]广西民族师范学院物理与电子工程系,广西崇左532200 [2]广西大学计算机与电子信息学院,南宁530004
出 处:《小型微型计算机系统》2017年第4期797-802,共6页Journal of Chinese Computer Systems
基 金:国家自然科学基金项目(61562006;61262003)资助;广西自然科学杰出青年基金项目(2013GXNSFGA019006)资助
摘 要:物联网M2M实现了机器(Machine)、人(Man)及移动(Mobile)网络之间的信息全面共享与互通.很多M2M网络节点布置后需自动运行,以及移动网络也常常遭受能耗问题.因此,M2M网络节点间有效的能耗感知路由策略及能耗优化是M2M网络通信中面临的主要挑战之一.考虑到M2M网络能自组织地完成数据的传输和共享,并且节点行为具有聚集和规律的社会特征.因此,提出物联网M2M中基于社区的能耗感知路由策略,把某些具有相同特性的节点聚集在一起形成社区,再把整个M2M网络动态划分为若干个不同的社区,在社区内和社区间传递和共享数据.同时综合考虑节点的能耗速率和节点之间的相遇概率来进行路由决策,避免部分节点能量消耗过快的问题,从而实现节点间的负载均衡.在仿真实验中,通过与现有路由策略的进行对比,本文提出的策略在数据传输成功率和平均传输能耗等方面均获得了较好的性能.M2M of Internet of Things realizes sharing and interworking of information among Machine, Man and Mobile network. Many nodes of M2M need to auto-run after they were deployed, and energy consumption is problem for mobile networks. So, it is a challenge topic for energy-aware routing strategy and energy optimization to M2M networks. Considering that M2M can self-organize to transmit and share information, and nodes have a certain aggregation and regularity. In this paper, we propose community-based en- ergy-aware routing strategy in M2M Internet of Things. Some nodes with same character are gathered to form a community. The whole M2M network has been partitioned into several different communities dynamically. Information is transmitted and shared in the intra- community and inter-community. Considering rate of node energy consumption and the encounter probability between two nodes, then the routing is decided. In addition, to avoid some nodes" energy consumption too fast, we implement load balance strategy. In simula- tion, the data delivery success ratio, the cost of protocol and the energy consumption balance of the optimization strategy proposed in this paper are compared with those of other strategies in related literatures. The results show that the strategy proposed by this paper has achieves better energy consumption optimization effect.
分 类 号:TP301[自动化与计算机技术—计算机系统结构]
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