Power-aware routing in mobile ad hoc networks

Abstract

Power consumption is a crucial design concern in Wireless ad hoc networks since wireless nodes are typically battery limited. It might not be possible to replace/recharge a mobile node that is powered by batteries. To take full advantage of life time of nodes, traffic should be routed in a way that power consumption is minimized. Power Aware Routing is a consideration in a way that it minimizes the energy consumption while routing the traffic, aims at minimizing the total power consumption of all the nodes in the network, minimizing the overhead etc. and thus, at maximizing the lifespan of the network using some Power Aware Routing Protocols. They minimize either the active communication energy required to transmit or receive packets or the inactive energy consumed when a mobile node stays idle but listens to the wireless medium for any possible communication requests from other nodes. Transmission power control, load distribution and power management approaches are used to minimize active communication energy.

Energy-Aware On-Demand Routing for Mobile Ad Hoc Networks

“…Our cost model is similar though we use a piece-wise model dependent on the energy reserve of a node. Some of our observations are also in line with [15], such as the savings are greater in larger and denser networks, and also in moderate traffic situations as opposed to low or high traffic situations. In should be mentioned that [15] uses PAMAS in the MAC layer that contributed to greater savings.…”

“…In [15], several energy-aware metrics were discussed that will result in energy-efficient routes. The metrics included maximizing the time to network partition and reducing variance in node power levels.…”

“…This indirectly achieves the above goals. In [15] performance evaluations using small (20 nodes) random graph model showed improved per packet energy cost with a energy-aware cost model (cost of route is the sum of costs of each node on the route, where cost for a node is a linear or quadratic function of the energy expended thus far in the node) compared to shorest-path routing. Our cost model is similar though we use a piece-wise model dependent on the energy reserve of a node.…”

Robust management of outliers in sensor network aggregate queries

“…Thus, nodes must be able to self-configure [2], discover their surrounding nodes [10,11] and compute energy-efficient data routing paths (such as the aggregation tree [12]) [22,24]. All these techniques are complementary to our work, as they provide the necessary network primitives that we need to build our messaging scheme.…”

Optimal Node Scheduling for Effective Energy Usage in Sensor Networks

“…For wireless systems, power issues at circuit level are addressed in [Abi00] and at architectural level in [Rab00a]. On the algorithmic side, [Sin98] discusses new power aware metrics for determining routes in traditional wireless ad-hoc networks. Variation of transmitter power level of a mobile node in a wireless network for fixed quality of service in varying channel interference is discussed in [Rul97].…”